Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling Network Article Swipe
Oğuzhan Alagöz
,
Jennifer L. Caswell‐Jin
,
Harry J. de Koning
,
Hui Huang
,
Xuelin Huang
,
Sandra J. Lee
,
Yisheng Li
,
Sylvia K. Plevritis
,
Swarnavo Sarkar
,
Clyde B. Schechter
,
Natasha K. Stout
,
Amy Trentham‐Dietz
,
Nicolien van Ravesteyn
,
Kathryn P. Lowry
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/jbi/wbaf003
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1093/jbi/wbaf003
The National Cancer Institute–funded Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer mathematical models have been increasingly utilized by policymakers to address breast cancer screening policy decisions and influence clinical practice. These well-established and validated models have a successful track record of use in collaborations spanning over 2 decades. While mathematical modeling is a valuable approach to translate short-term screening performance data into long-term breast cancer outcomes, it is inherently complex and requires numerous inputs to approximate the impacts of breast cancer screening. This review article describes the 6 independently developed CISNET breast cancer models, with a particular focus on how they represent breast cancer screening and estimate the contribution of screening to breast cancer mortality reduction and improvements in life expectancy. We also describe differences in structures and assumptions across the models and how variation in model results can highlight areas of uncertainty. Finally, we offer insight into how the results generated by the models can be used to aid decision-making regarding breast cancer screening policy.
Related Topics
Concepts
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1093/jbi/wbaf003
- https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdf
- OA Status
- bronze
- Cited By
- 1
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408159109
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408159109Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/jbi/wbaf003Digital Object Identifier
- Title
-
Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling NetworkWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-26Full publication date if available
- Authors
-
Oğuzhan Alagöz, Jennifer L. Caswell‐Jin, Harry J. de Koning, Hui Huang, Xuelin Huang, Sandra J. Lee, Yisheng Li, Sylvia K. Plevritis, Swarnavo Sarkar, Clyde B. Schechter, Natasha K. Stout, Amy Trentham‐Dietz, Nicolien van Ravesteyn, Kathryn P. LowryList of authors in order
- Landing page
-
https://doi.org/10.1093/jbi/wbaf003Publisher landing page
- PDF URL
-
https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdfDirect OA link when available
- Concepts
-
Breast cancer, Cancer, Intervention (counseling), Medicine, Computer science, Oncology, Internal medicine, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4408159109 |
|---|---|
| doi | https://doi.org/10.1093/jbi/wbaf003 |
| ids.doi | https://doi.org/10.1093/jbi/wbaf003 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40036318 |
| ids.openalex | https://openalex.org/W4408159109 |
| fwci | 3.27053909 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | Q000000981 |
| mesh[1].descriptor_ui | D001943 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | diagnostic imaging |
| mesh[1].descriptor_name | Breast Neoplasms |
| mesh[2].qualifier_ui | Q000401 |
| mesh[2].descriptor_ui | D001943 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | mortality |
| mesh[2].descriptor_name | Breast Neoplasms |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D005260 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Female |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D055088 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Early Detection of Cancer |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D008962 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Models, Theoretical |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D014481 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | United States |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D008327 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Mammography |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D006801 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Humans |
| mesh[9].qualifier_ui | Q000175 |
| mesh[9].descriptor_ui | D001943 |
| mesh[9].is_major_topic | True |
| mesh[9].qualifier_name | diagnosis |
| mesh[9].descriptor_name | Breast Neoplasms |
| mesh[10].qualifier_ui | Q000453 |
| mesh[10].descriptor_ui | D001943 |
| mesh[10].is_major_topic | True |
| mesh[10].qualifier_name | epidemiology |
| mesh[10].descriptor_name | Breast Neoplasms |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D005260 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Female |
| mesh[12].qualifier_ui | Q000379 |
| mesh[12].descriptor_ui | D055088 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | methods |
| mesh[12].descriptor_name | Early Detection of Cancer |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D008962 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Models, Theoretical |
| mesh[14].qualifier_ui | Q000453 |
| mesh[14].descriptor_ui | D014481 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | epidemiology |
| mesh[14].descriptor_name | United States |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D008327 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Mammography |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D006801 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Humans |
| mesh[17].qualifier_ui | Q000175 |
| mesh[17].descriptor_ui | D001943 |
| mesh[17].is_major_topic | True |
| mesh[17].qualifier_name | diagnosis |
| mesh[17].descriptor_name | Breast Neoplasms |
| mesh[18].qualifier_ui | Q000453 |
| mesh[18].descriptor_ui | D001943 |
| mesh[18].is_major_topic | True |
| mesh[18].qualifier_name | epidemiology |
| mesh[18].descriptor_name | Breast Neoplasms |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D005260 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Female |
| mesh[20].qualifier_ui | Q000379 |
| mesh[20].descriptor_ui | D055088 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | methods |
| mesh[20].descriptor_name | Early Detection of Cancer |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D008962 |
| mesh[21].is_major_topic | True |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Models, Theoretical |
| mesh[22].qualifier_ui | Q000453 |
| mesh[22].descriptor_ui | D014481 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | epidemiology |
| mesh[22].descriptor_name | United States |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D008327 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Mammography |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D006801 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Humans |
| mesh[25].qualifier_ui | Q000175 |
| mesh[25].descriptor_ui | D001943 |
| mesh[25].is_major_topic | True |
| mesh[25].qualifier_name | diagnosis |
| mesh[25].descriptor_name | Breast Neoplasms |
| mesh[26].qualifier_ui | Q000453 |
| mesh[26].descriptor_ui | D001943 |
| mesh[26].is_major_topic | True |
| mesh[26].qualifier_name | epidemiology |
| mesh[26].descriptor_name | Breast Neoplasms |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D005260 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Female |
| mesh[28].qualifier_ui | Q000379 |
| mesh[28].descriptor_ui | D055088 |
| mesh[28].is_major_topic | True |
| mesh[28].qualifier_name | methods |
| mesh[28].descriptor_name | Early Detection of Cancer |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D008962 |
| mesh[29].is_major_topic | True |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Models, Theoretical |
| mesh[30].qualifier_ui | Q000453 |
| mesh[30].descriptor_ui | D014481 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | epidemiology |
| mesh[30].descriptor_name | United States |
| mesh[31].qualifier_ui | |
| mesh[31].descriptor_ui | D008327 |
| mesh[31].is_major_topic | False |
| mesh[31].qualifier_name | |
| mesh[31].descriptor_name | Mammography |
| mesh[32].qualifier_ui | |
| mesh[32].descriptor_ui | D006801 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | |
| mesh[32].descriptor_name | Humans |
| mesh[33].qualifier_ui | Q000000981 |
| mesh[33].descriptor_ui | D001943 |
| mesh[33].is_major_topic | True |
| mesh[33].qualifier_name | diagnostic imaging |
| mesh[33].descriptor_name | Breast Neoplasms |
| mesh[34].qualifier_ui | Q000401 |
| mesh[34].descriptor_ui | D001943 |
| mesh[34].is_major_topic | True |
| mesh[34].qualifier_name | mortality |
| mesh[34].descriptor_name | Breast Neoplasms |
| mesh[35].qualifier_ui | |
| mesh[35].descriptor_ui | D005260 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | |
| mesh[35].descriptor_name | Female |
| mesh[36].qualifier_ui | |
| mesh[36].descriptor_ui | D055088 |
| mesh[36].is_major_topic | True |
| mesh[36].qualifier_name | |
| mesh[36].descriptor_name | Early Detection of Cancer |
| mesh[37].qualifier_ui | |
| mesh[37].descriptor_ui | D008962 |
| mesh[37].is_major_topic | True |
| mesh[37].qualifier_name | |
| mesh[37].descriptor_name | Models, Theoretical |
| mesh[38].qualifier_ui | |
| mesh[38].descriptor_ui | D014481 |
| mesh[38].is_major_topic | False |
| mesh[38].qualifier_name | |
| mesh[38].descriptor_name | United States |
| mesh[39].qualifier_ui | |
| mesh[39].descriptor_ui | D008327 |
| mesh[39].is_major_topic | False |
| mesh[39].qualifier_name | |
| mesh[39].descriptor_name | Mammography |
| type | review |
| title | Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling Network |
| awards[0].id | https://openalex.org/G4071785113 |
| awards[0].funder_id | https://openalex.org/F4320332161 |
| awards[0].display_name | |
| awards[0].funder_award_id | U01CA253911, P30CA014520 |
| awards[0].funder_display_name | National Institutes of Health |
| awards[1].id | https://openalex.org/G7876586544 |
| awards[1].funder_id | https://openalex.org/F4320306095 |
| awards[1].display_name | |
| awards[1].funder_award_id | 21-078-01-CPSH |
| awards[1].funder_display_name | American Cancer Society |
| biblio.issue | 2 |
| biblio.volume | 7 |
| biblio.last_page | 154 |
| biblio.first_page | 141 |
| topics[0].id | https://openalex.org/T10556 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9980999827384949 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2730 |
| topics[0].subfield.display_name | Oncology |
| topics[0].display_name | Global Cancer Incidence and Screening |
| topics[1].id | https://openalex.org/T10183 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9962000250816345 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1306 |
| topics[1].subfield.display_name | Cancer Research |
| topics[1].display_name | Breast Cancer Treatment Studies |
| topics[2].id | https://openalex.org/T10887 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9896000027656555 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Bioinformatics and Genomic Networks |
| funders[0].id | https://openalex.org/F4320306095 |
| funders[0].ror | https://ror.org/02e463172 |
| funders[0].display_name | American Cancer Society |
| funders[1].id | https://openalex.org/F4320332161 |
| funders[1].ror | https://ror.org/01cwqze88 |
| funders[1].display_name | National Institutes of Health |
| is_xpac | False |
| apc_list.value | 2567 |
| apc_list.currency | USD |
| apc_list.value_usd | 2567 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C530470458 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7888138294219971 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q128581 |
| concepts[0].display_name | Breast cancer |
| concepts[1].id | https://openalex.org/C121608353 |
| concepts[1].level | 2 |
| concepts[1].score | 0.62577223777771 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q12078 |
| concepts[1].display_name | Cancer |
| concepts[2].id | https://openalex.org/C2780665704 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6253281831741333 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q959298 |
| concepts[2].display_name | Intervention (counseling) |
| concepts[3].id | https://openalex.org/C71924100 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5375428199768066 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[3].display_name | Medicine |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.34557878971099854 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C143998085 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3220381736755371 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q162555 |
| concepts[5].display_name | Oncology |
| concepts[6].id | https://openalex.org/C126322002 |
| concepts[6].level | 1 |
| concepts[6].score | 0.20425355434417725 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[6].display_name | Internal medicine |
| concepts[7].id | https://openalex.org/C118552586 |
| concepts[7].level | 1 |
| concepts[7].score | 0.07064387202262878 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7867 |
| concepts[7].display_name | Psychiatry |
| keywords[0].id | https://openalex.org/keywords/breast-cancer |
| keywords[0].score | 0.7888138294219971 |
| keywords[0].display_name | Breast cancer |
| keywords[1].id | https://openalex.org/keywords/cancer |
| keywords[1].score | 0.62577223777771 |
| keywords[1].display_name | Cancer |
| keywords[2].id | https://openalex.org/keywords/intervention |
| keywords[2].score | 0.6253281831741333 |
| keywords[2].display_name | Intervention (counseling) |
| keywords[3].id | https://openalex.org/keywords/medicine |
| keywords[3].score | 0.5375428199768066 |
| keywords[3].display_name | Medicine |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.34557878971099854 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/oncology |
| keywords[5].score | 0.3220381736755371 |
| keywords[5].display_name | Oncology |
| keywords[6].id | https://openalex.org/keywords/internal-medicine |
| keywords[6].score | 0.20425355434417725 |
| keywords[6].display_name | Internal medicine |
| keywords[7].id | https://openalex.org/keywords/psychiatry |
| keywords[7].score | 0.07064387202262878 |
| keywords[7].display_name | Psychiatry |
| language | en |
| locations[0].id | doi:10.1093/jbi/wbaf003 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210175921 |
| locations[0].source.issn | 2631-6110, 2631-6129 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2631-6110 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Breast Imaging |
| locations[0].source.host_organization | https://openalex.org/P4310311648 |
| locations[0].source.host_organization_name | Oxford University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| locations[0].source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| locations[0].license | |
| locations[0].pdf_url | https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Breast Imaging |
| locations[0].landing_page_url | https://doi.org/10.1093/jbi/wbaf003 |
| locations[1].id | pmid:40036318 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of breast imaging |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40036318 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5046601895 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5133-1382 |
| authorships[0].author.display_name | Oğuzhan Alagöz |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I135310074 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA |
| authorships[0].institutions[0].id | https://openalex.org/I135310074 |
| authorships[0].institutions[0].ror | https://ror.org/01y2jtd41 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I135310074 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Wisconsin–Madison |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Oguzhan Alagoz |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA |
| authorships[1].author.id | https://openalex.org/A5083378043 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5711-8355 |
| authorships[1].author.display_name | Jennifer L. Caswell‐Jin |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I97018004 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA |
| authorships[1].institutions[0].id | https://openalex.org/I97018004 |
| authorships[1].institutions[0].ror | https://ror.org/00f54p054 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I97018004 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Stanford University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jennifer L Caswell-Jin |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA |
| authorships[2].author.id | https://openalex.org/A5078025092 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-4682-3646 |
| authorships[2].author.display_name | Harry J. de Koning |
| authorships[2].countries | NL |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I2801952686 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands |
| authorships[2].institutions[0].id | https://openalex.org/I2801952686 |
| authorships[2].institutions[0].ror | https://ror.org/018906e22 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I2801952686 |
| authorships[2].institutions[0].country_code | NL |
| authorships[2].institutions[0].display_name | Erasmus MC |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Harry J de Koning |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands |
| authorships[3].author.id | https://openalex.org/A5101734030 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5372-3160 |
| authorships[3].author.display_name | Hui Huang |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210117453 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA |
| authorships[3].institutions[0].id | https://openalex.org/I4210117453 |
| authorships[3].institutions[0].ror | https://ror.org/02jzgtq86 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210117453 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Dana-Farber Cancer Institute |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Hui Huang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA |
| authorships[4].author.id | https://openalex.org/A5057822243 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1192-9336 |
| authorships[4].author.display_name | Xuelin Huang |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I1343551460 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| authorships[4].institutions[0].id | https://openalex.org/I1343551460 |
| authorships[4].institutions[0].ror | https://ror.org/04twxam07 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I1343551460 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | The University of Texas MD Anderson Cancer Center |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Xuelin Huang |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| authorships[5].author.id | https://openalex.org/A5051157099 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8626-639X |
| authorships[5].author.display_name | Sandra J. Lee |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210117453 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA |
| authorships[5].institutions[0].id | https://openalex.org/I4210117453 |
| authorships[5].institutions[0].ror | https://ror.org/02jzgtq86 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210117453 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Dana-Farber Cancer Institute |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Sandra J Lee |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA |
| authorships[6].author.id | https://openalex.org/A5088226132 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-9847-8544 |
| authorships[6].author.display_name | Yisheng Li |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I1343551460 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| authorships[6].institutions[0].id | https://openalex.org/I1343551460 |
| authorships[6].institutions[0].ror | https://ror.org/04twxam07 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I1343551460 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | The University of Texas MD Anderson Cancer Center |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Yisheng Li |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| authorships[7].author.id | https://openalex.org/A5042253328 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-2796-9180 |
| authorships[7].author.display_name | Sylvia K. Plevritis |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I97018004 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA |
| authorships[7].affiliations[1].institution_ids | https://openalex.org/I97018004 |
| authorships[7].affiliations[1].raw_affiliation_string | Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA |
| authorships[7].institutions[0].id | https://openalex.org/I97018004 |
| authorships[7].institutions[0].ror | https://ror.org/00f54p054 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I97018004 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | Stanford University |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Sylvia K Plevritis |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA |
| authorships[8].author.id | https://openalex.org/A5072773241 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-1830-3099 |
| authorships[8].author.display_name | Swarnavo Sarkar |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I184565670, https://openalex.org/I2799903593 |
| authorships[8].affiliations[0].raw_affiliation_string | Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA |
| authorships[8].institutions[0].id | https://openalex.org/I184565670 |
| authorships[8].institutions[0].ror | https://ror.org/05vzafd60 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I184565670 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | Georgetown University |
| authorships[8].institutions[1].id | https://openalex.org/I2799903593 |
| authorships[8].institutions[1].ror | https://ror.org/00hjz7x27 |
| authorships[8].institutions[1].type | healthcare |
| authorships[8].institutions[1].lineage | https://openalex.org/I2799903593 |
| authorships[8].institutions[1].country_code | US |
| authorships[8].institutions[1].display_name | Georgetown University Medical Center |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Swarnavo Sarkar |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA |
| authorships[9].author.id | https://openalex.org/A5065778332 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-0010-2827 |
| authorships[9].author.display_name | Clyde B. Schechter |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I129975664, https://openalex.org/I4210088923 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Family & Social Medicine, Albert Einstein College of Medicine, The Bronx, NY, USA |
| authorships[9].institutions[0].id | https://openalex.org/I129975664 |
| authorships[9].institutions[0].ror | https://ror.org/05cf8a891 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I129975664, https://openalex.org/I4210112371 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | Albert Einstein College of Medicine |
| authorships[9].institutions[1].id | https://openalex.org/I4210088923 |
| authorships[9].institutions[1].ror | https://ror.org/0096stf71 |
| authorships[9].institutions[1].type | nonprofit |
| authorships[9].institutions[1].lineage | https://openalex.org/I4210088923 |
| authorships[9].institutions[1].country_code | US |
| authorships[9].institutions[1].display_name | The Bronx Defenders |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Clyde B Schechter |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Department of Family & Social Medicine, Albert Einstein College of Medicine, The Bronx, NY, USA |
| authorships[10].author.id | https://openalex.org/A5109500571 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Natasha K. Stout |
| authorships[10].countries | US |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I4210140884 |
| authorships[10].affiliations[0].raw_affiliation_string | Division of Cancer Control and Population Sciences, National Cancer Institute, National Institute of Health, Bethesda, MD, USA |
| authorships[10].institutions[0].id | https://openalex.org/I4210140884 |
| authorships[10].institutions[0].ror | https://ror.org/040gcmg81 |
| authorships[10].institutions[0].type | government |
| authorships[10].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210140884 |
| authorships[10].institutions[0].country_code | US |
| authorships[10].institutions[0].display_name | National Cancer Institute |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Natasha K Stout |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Division of Cancer Control and Population Sciences, National Cancer Institute, National Institute of Health, Bethesda, MD, USA |
| authorships[11].author.id | https://openalex.org/A5004099472 |
| authorships[11].author.orcid | https://orcid.org/0000-0002-5971-4660 |
| authorships[11].author.display_name | Amy Trentham‐Dietz |
| authorships[11].countries | US |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I135310074 |
| authorships[11].affiliations[0].raw_affiliation_string | Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA |
| authorships[11].affiliations[1].institution_ids | https://openalex.org/I135310074, https://openalex.org/I4210103341 |
| authorships[11].affiliations[1].raw_affiliation_string | Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA |
| authorships[11].institutions[0].id | https://openalex.org/I4210103341 |
| authorships[11].institutions[0].ror | https://ror.org/01e4byj08 |
| authorships[11].institutions[0].type | healthcare |
| authorships[11].institutions[0].lineage | https://openalex.org/I2799905417, https://openalex.org/I4210103341, https://openalex.org/I4210132596 |
| authorships[11].institutions[0].country_code | US |
| authorships[11].institutions[0].display_name | University of Wisconsin Carbone Cancer Center |
| authorships[11].institutions[1].id | https://openalex.org/I135310074 |
| authorships[11].institutions[1].ror | https://ror.org/01y2jtd41 |
| authorships[11].institutions[1].type | education |
| authorships[11].institutions[1].lineage | https://openalex.org/I135310074 |
| authorships[11].institutions[1].country_code | US |
| authorships[11].institutions[1].display_name | University of Wisconsin–Madison |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Amy Trentham-Dietz |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA, Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA |
| authorships[12].author.id | https://openalex.org/A5062386556 |
| authorships[12].author.orcid | |
| authorships[12].author.display_name | Nicolien van Ravesteyn |
| authorships[12].countries | NL |
| authorships[12].affiliations[0].institution_ids | https://openalex.org/I2801952686 |
| authorships[12].affiliations[0].raw_affiliation_string | Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands |
| authorships[12].institutions[0].id | https://openalex.org/I2801952686 |
| authorships[12].institutions[0].ror | https://ror.org/018906e22 |
| authorships[12].institutions[0].type | healthcare |
| authorships[12].institutions[0].lineage | https://openalex.org/I2801952686 |
| authorships[12].institutions[0].country_code | NL |
| authorships[12].institutions[0].display_name | Erasmus MC |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Nicolien van Ravesteyn |
| authorships[12].is_corresponding | False |
| authorships[12].raw_affiliation_strings | Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands |
| authorships[13].author.id | https://openalex.org/A5008337139 |
| authorships[13].author.orcid | https://orcid.org/0000-0002-0840-7855 |
| authorships[13].author.display_name | Kathryn P. Lowry |
| authorships[13].countries | US |
| authorships[13].affiliations[0].institution_ids | https://openalex.org/I201448701, https://openalex.org/I4210089486 |
| authorships[13].affiliations[0].raw_affiliation_string | Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, WA, USA |
| authorships[13].institutions[0].id | https://openalex.org/I4210089486 |
| authorships[13].institutions[0].ror | https://ror.org/007ps6h72 |
| authorships[13].institutions[0].type | nonprofit |
| authorships[13].institutions[0].lineage | https://openalex.org/I4210089486 |
| authorships[13].institutions[0].country_code | US |
| authorships[13].institutions[0].display_name | Fred Hutch Cancer Center |
| authorships[13].institutions[1].id | https://openalex.org/I201448701 |
| authorships[13].institutions[1].ror | https://ror.org/00cvxb145 |
| authorships[13].institutions[1].type | education |
| authorships[13].institutions[1].lineage | https://openalex.org/I201448701 |
| authorships[13].institutions[1].country_code | US |
| authorships[13].institutions[1].display_name | University of Washington |
| authorships[13].author_position | last |
| authorships[13].raw_author_name | Kathryn P Lowry |
| authorships[13].is_corresponding | False |
| authorships[13].raw_affiliation_strings | Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle, WA, USA |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdf |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Mathematical Modeling to Address Questions in Breast Cancer Screening: An Overview of the Breast Cancer Models of the Cancer Intervention and Surveillance Modeling Network |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10556 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9980999827384949 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2730 |
| primary_topic.subfield.display_name | Oncology |
| primary_topic.display_name | Global Cancer Incidence and Screening |
| related_works | https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W4391375266, https://openalex.org/W3031052312, https://openalex.org/W4389568370, https://openalex.org/W3032375762, https://openalex.org/W1995515455, https://openalex.org/W2080531066, https://openalex.org/W2989121736, https://openalex.org/W2892677547 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1093/jbi/wbaf003 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210175921 |
| best_oa_location.source.issn | 2631-6110, 2631-6129 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2631-6110 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Breast Imaging |
| best_oa_location.source.host_organization | https://openalex.org/P4310311648 |
| best_oa_location.source.host_organization_name | Oxford University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| best_oa_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Breast Imaging |
| best_oa_location.landing_page_url | https://doi.org/10.1093/jbi/wbaf003 |
| primary_location.id | doi:10.1093/jbi/wbaf003 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210175921 |
| primary_location.source.issn | 2631-6110, 2631-6129 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2631-6110 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Breast Imaging |
| primary_location.source.host_organization | https://openalex.org/P4310311648 |
| primary_location.source.host_organization_name | Oxford University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311648, https://openalex.org/P4310311647 |
| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
| primary_location.license | |
| primary_location.pdf_url | https://academic.oup.com/jbi/advance-article-pdf/doi/10.1093/jbi/wbaf003/62177819/wbaf003.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Breast Imaging |
| primary_location.landing_page_url | https://doi.org/10.1093/jbi/wbaf003 |
| publication_date | 2025-02-26 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2045216597, https://openalex.org/W2783801120, https://openalex.org/W3128672542, https://openalex.org/W3041076170, https://openalex.org/W2793677997, https://openalex.org/W4213378853, https://openalex.org/W2100951779, https://openalex.org/W2282197435, https://openalex.org/W4396509675, https://openalex.org/W1967315733, https://openalex.org/W2791280376, https://openalex.org/W2793866248, https://openalex.org/W2793638302, https://openalex.org/W2673215368, https://openalex.org/W2792841394, https://openalex.org/W2794157321, https://openalex.org/W2792931869, https://openalex.org/W2129380253, https://openalex.org/W2789328865, https://openalex.org/W2073446948, https://openalex.org/W2099609524, https://openalex.org/W1965123245, https://openalex.org/W4282841042, https://openalex.org/W2791551144, https://openalex.org/W2905887518, https://openalex.org/W4390919342, https://openalex.org/W2100025800, https://openalex.org/W2118728607, https://openalex.org/W1701849548, https://openalex.org/W1961026612, https://openalex.org/W2214665719, https://openalex.org/W2774580734, https://openalex.org/W2166149308, https://openalex.org/W2071941963, https://openalex.org/W2516859771, https://openalex.org/W1979871017, https://openalex.org/W3205044404, https://openalex.org/W2102108493, https://openalex.org/W2034380059, https://openalex.org/W2005755365, https://openalex.org/W2157215191, https://openalex.org/W2129696609, https://openalex.org/W2792336645, https://openalex.org/W1984130041, https://openalex.org/W4401882875, https://openalex.org/W2918601053, https://openalex.org/W1923264504, https://openalex.org/W2080822340, https://openalex.org/W4386802756, https://openalex.org/W4396509461, https://openalex.org/W4248695153 |
| referenced_works_count | 51 |
| abstract_inverted_index.2 | 49 |
| abstract_inverted_index.6 | 90 |
| abstract_inverted_index.a | 39, 55, 98 |
| abstract_inverted_index.We | 124 |
| abstract_inverted_index.be | 159 |
| abstract_inverted_index.by | 20, 155 |
| abstract_inverted_index.in | 45, 121, 128, 138 |
| abstract_inverted_index.is | 54, 70 |
| abstract_inverted_index.it | 69 |
| abstract_inverted_index.of | 43, 81, 112, 144 |
| abstract_inverted_index.on | 101 |
| abstract_inverted_index.to | 22, 58, 77, 114, 161 |
| abstract_inverted_index.we | 147 |
| abstract_inverted_index.The | 1 |
| abstract_inverted_index.aid | 162 |
| abstract_inverted_index.and | 7, 29, 35, 73, 108, 119, 130, 135 |
| abstract_inverted_index.can | 141, 158 |
| abstract_inverted_index.how | 102, 136, 151 |
| abstract_inverted_index.the | 79, 89, 110, 133, 152, 156 |
| abstract_inverted_index.use | 44 |
| abstract_inverted_index.This | 85 |
| abstract_inverted_index.also | 125 |
| abstract_inverted_index.been | 17 |
| abstract_inverted_index.data | 63 |
| abstract_inverted_index.have | 16, 38 |
| abstract_inverted_index.into | 64, 150 |
| abstract_inverted_index.life | 122 |
| abstract_inverted_index.over | 48 |
| abstract_inverted_index.they | 103 |
| abstract_inverted_index.used | 160 |
| abstract_inverted_index.with | 97 |
| abstract_inverted_index.These | 33 |
| abstract_inverted_index.While | 51 |
| abstract_inverted_index.areas | 143 |
| abstract_inverted_index.focus | 100 |
| abstract_inverted_index.model | 139 |
| abstract_inverted_index.offer | 148 |
| abstract_inverted_index.track | 41 |
| abstract_inverted_index.CISNET | 93 |
| abstract_inverted_index.Cancer | 3, 5 |
| abstract_inverted_index.across | 132 |
| abstract_inverted_index.breast | 12, 24, 66, 82, 94, 105, 115, 165 |
| abstract_inverted_index.cancer | 13, 25, 67, 83, 95, 106, 116, 166 |
| abstract_inverted_index.inputs | 76 |
| abstract_inverted_index.models | 15, 37, 134, 157 |
| abstract_inverted_index.policy | 27 |
| abstract_inverted_index.record | 42 |
| abstract_inverted_index.review | 86 |
| abstract_inverted_index.Network | 10 |
| abstract_inverted_index.address | 23 |
| abstract_inverted_index.article | 87 |
| abstract_inverted_index.complex | 72 |
| abstract_inverted_index.impacts | 80 |
| abstract_inverted_index.insight | 149 |
| abstract_inverted_index.models, | 96 |
| abstract_inverted_index.policy. | 168 |
| abstract_inverted_index.results | 140, 153 |
| abstract_inverted_index.(CISNET) | 11 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 146 |
| abstract_inverted_index.Modeling | 9 |
| abstract_inverted_index.National | 2 |
| abstract_inverted_index.approach | 57 |
| abstract_inverted_index.clinical | 31 |
| abstract_inverted_index.decades. | 50 |
| abstract_inverted_index.describe | 126 |
| abstract_inverted_index.estimate | 109 |
| abstract_inverted_index.modeling | 53 |
| abstract_inverted_index.numerous | 75 |
| abstract_inverted_index.requires | 74 |
| abstract_inverted_index.spanning | 47 |
| abstract_inverted_index.utilized | 19 |
| abstract_inverted_index.valuable | 56 |
| abstract_inverted_index.decisions | 28 |
| abstract_inverted_index.describes | 88 |
| abstract_inverted_index.developed | 92 |
| abstract_inverted_index.generated | 154 |
| abstract_inverted_index.highlight | 142 |
| abstract_inverted_index.influence | 30 |
| abstract_inverted_index.long-term | 65 |
| abstract_inverted_index.mortality | 117 |
| abstract_inverted_index.outcomes, | 68 |
| abstract_inverted_index.practice. | 32 |
| abstract_inverted_index.reduction | 118 |
| abstract_inverted_index.regarding | 164 |
| abstract_inverted_index.represent | 104 |
| abstract_inverted_index.screening | 26, 61, 107, 113, 167 |
| abstract_inverted_index.translate | 59 |
| abstract_inverted_index.validated | 36 |
| abstract_inverted_index.variation | 137 |
| abstract_inverted_index.inherently | 71 |
| abstract_inverted_index.particular | 99 |
| abstract_inverted_index.screening. | 84 |
| abstract_inverted_index.short-term | 60 |
| abstract_inverted_index.structures | 129 |
| abstract_inverted_index.successful | 40 |
| abstract_inverted_index.approximate | 78 |
| abstract_inverted_index.assumptions | 131 |
| abstract_inverted_index.differences | 127 |
| abstract_inverted_index.expectancy. | 123 |
| abstract_inverted_index.performance | 62 |
| abstract_inverted_index.Intervention | 6 |
| abstract_inverted_index.Surveillance | 8 |
| abstract_inverted_index.contribution | 111 |
| abstract_inverted_index.improvements | 120 |
| abstract_inverted_index.increasingly | 18 |
| abstract_inverted_index.mathematical | 14, 52 |
| abstract_inverted_index.policymakers | 21 |
| abstract_inverted_index.uncertainty. | 145 |
| abstract_inverted_index.independently | 91 |
| abstract_inverted_index.collaborations | 46 |
| abstract_inverted_index.decision-making | 163 |
| abstract_inverted_index.well-established | 34 |
| abstract_inverted_index.Institute–funded | 4 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 14 |
| citation_normalized_percentile.value | 0.80517724 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |