An explainable model for predicting Worsening Heart Failure based on genetic programming Article Swipe
Valeria Visco
,
Antonio Robustelli
,
Francesco Loria
,
Antonella Rispoli
,
Francesca Palmieri
,
Alessia Bramanti
,
Albino Carrizzo
,
Carmine Vecchione
,
Francesco Palmieri
,
Michele Ciccarelli
,
Gianni D’Angelo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.compbiomed.2024.109110
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.compbiomed.2024.109110
Heart Failure (HF) poses a challenge for our health systems, and early detection of Worsening HF (WHF), defined as a deterioration in symptoms and clinical and instrumental signs of HF, is vital to improving prognosis. Predicting WHF in a phase that is currently undiagnosable by physicians would enable prompt treatment of such events in patients at a higher risk of WHF. Although the role of Artificial Intelligence in cardiovascular diseases is becoming part of clinical practice, especially for diagnostic and prognostic purposes, its usage is often considered not completely reliable due to the incapacity of these models to provide a valid explanation about their output results. Physicians are often reluctant to make decisions based on unjustified results and see these models as black boxes. This study aims to develop a novel diagnostic model capable of predicting WHF while also providing an easy interpretation of the outcomes. We propose a threshold-based binary classifier built on a mathematical model derived from the Genetic Programming approach. This model clearly indicates that WHF is closely linked to creatinine, sPAP, and CAD, even though the relationship of these variables and WHF is almost complex. However, the proposed mathematical model allows for providing a 3D graphical representation, which medical staff can use to better understand the clinical situation of patients. Experiments conducted using retrospectively collected data from 519 patients treated at the HF Clinic of the University Hospital of Salerno have demonstrated the effectiveness of our model, surpassing the most commonly used machine learning algorithms. Indeed, the proposed GP-based classifier achieved a 96% average score for all considered evaluation metrics and fully supported the controls of medical staff. Our solution has the potential to impact clinical practice for HF by identifying patients at high risk of WHF and facilitating more rapid diagnosis, targeted treatment, and a reduction in hospitalizations.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.compbiomed.2024.109110
- OA Status
- hybrid
- Cited By
- 3
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402289906
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4402289906Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.compbiomed.2024.109110Digital Object Identifier
- Title
-
An explainable model for predicting Worsening Heart Failure based on genetic programmingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-06Full publication date if available
- Authors
-
Valeria Visco, Antonio Robustelli, Francesco Loria, Antonella Rispoli, Francesca Palmieri, Alessia Bramanti, Albino Carrizzo, Carmine Vecchione, Francesco Palmieri, Michele Ciccarelli, Gianni D’AngeloList of authors in order
- Landing page
-
https://doi.org/10.1016/j.compbiomed.2024.109110Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.compbiomed.2024.109110Direct OA link when available
- Concepts
-
Genetic programming, Classifier (UML), Computer science, Machine learning, Heart failure, Predictive modelling, Binary classification, Artificial intelligence, Medicine, Internal medicine, Support vector machineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
-
68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4402289906 |
|---|---|
| doi | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| ids.doi | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39243517 |
| ids.openalex | https://openalex.org/W4402289906 |
| fwci | 2.48616441 |
| 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 | Q000235 |
| mesh[1].descriptor_ui | D006333 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | genetics |
| mesh[1].descriptor_name | Heart Failure |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D008297 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Male |
| 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 | D008955 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Models, Cardiovascular |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D000368 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Aged |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D008875 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Middle Aged |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D006801 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Humans |
| mesh[8].qualifier_ui | Q000235 |
| mesh[8].descriptor_ui | D006333 |
| mesh[8].is_major_topic | True |
| mesh[8].qualifier_name | genetics |
| mesh[8].descriptor_name | Heart Failure |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D008297 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Male |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D005260 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Female |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D008955 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Models, Cardiovascular |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D000368 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Aged |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D008875 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Middle Aged |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D006801 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Humans |
| mesh[15].qualifier_ui | Q000235 |
| mesh[15].descriptor_ui | D006333 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | genetics |
| mesh[15].descriptor_name | Heart Failure |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D008297 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Male |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D005260 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Female |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D008955 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Models, Cardiovascular |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D000368 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Aged |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D008875 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Middle Aged |
| type | article |
| title | An explainable model for predicting Worsening Heart Failure based on genetic programming |
| awards[0].id | https://openalex.org/G5735540447 |
| awards[0].funder_id | https://openalex.org/F4320324632 |
| awards[0].display_name | |
| awards[0].funder_award_id | F/260007/05/X51 |
| awards[0].funder_display_name | Ministero dello Sviluppo Economico |
| awards[1].id | https://openalex.org/G8126597425 |
| awards[1].funder_id | https://openalex.org/F4320324632 |
| awards[1].display_name | |
| awards[1].funder_award_id | CUP B49J21031700008 - COR 9257850 |
| awards[1].funder_display_name | Ministero dello Sviluppo Economico |
| biblio.issue | |
| biblio.volume | 182 |
| biblio.last_page | 109110 |
| biblio.first_page | 109110 |
| topics[0].id | https://openalex.org/T10821 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9936000108718872 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2705 |
| topics[0].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[0].display_name | Cardiovascular Function and Risk Factors |
| topics[1].id | https://openalex.org/T10198 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9907000064849854 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2705 |
| topics[1].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[1].display_name | Heart Failure Treatment and Management |
| topics[2].id | https://openalex.org/T10172 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9376999735832214 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2705 |
| topics[2].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[2].display_name | Cardiac Valve Diseases and Treatments |
| funders[0].id | https://openalex.org/F4320324632 |
| funders[0].ror | https://ror.org/011z3ff80 |
| funders[0].display_name | Ministero dello Sviluppo Economico |
| is_xpac | False |
| apc_list.value | 2610 |
| apc_list.currency | USD |
| apc_list.value_usd | 2610 |
| apc_paid.value | 2610 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2610 |
| concepts[0].id | https://openalex.org/C110332635 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7548263669013977 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q629498 |
| concepts[0].display_name | Genetic programming |
| concepts[1].id | https://openalex.org/C95623464 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6525669097900391 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1096149 |
| concepts[1].display_name | Classifier (UML) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6156248450279236 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C119857082 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5195610523223877 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[3].display_name | Machine learning |
| concepts[4].id | https://openalex.org/C2778198053 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4988110065460205 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q181754 |
| concepts[4].display_name | Heart failure |
| concepts[5].id | https://openalex.org/C45804977 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4851292073726654 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7239673 |
| concepts[5].display_name | Predictive modelling |
| concepts[6].id | https://openalex.org/C66905080 |
| concepts[6].level | 3 |
| concepts[6].score | 0.48171859979629517 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q17005494 |
| concepts[6].display_name | Binary classification |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4788936674594879 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C71924100 |
| concepts[8].level | 0 |
| concepts[8].score | 0.3094910681247711 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[8].display_name | Medicine |
| concepts[9].id | https://openalex.org/C126322002 |
| concepts[9].level | 1 |
| concepts[9].score | 0.17205959558486938 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[9].display_name | Internal medicine |
| concepts[10].id | https://openalex.org/C12267149 |
| concepts[10].level | 2 |
| concepts[10].score | 0.1345006823539734 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q282453 |
| concepts[10].display_name | Support vector machine |
| keywords[0].id | https://openalex.org/keywords/genetic-programming |
| keywords[0].score | 0.7548263669013977 |
| keywords[0].display_name | Genetic programming |
| keywords[1].id | https://openalex.org/keywords/classifier |
| keywords[1].score | 0.6525669097900391 |
| keywords[1].display_name | Classifier (UML) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6156248450279236 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/machine-learning |
| keywords[3].score | 0.5195610523223877 |
| keywords[3].display_name | Machine learning |
| keywords[4].id | https://openalex.org/keywords/heart-failure |
| keywords[4].score | 0.4988110065460205 |
| keywords[4].display_name | Heart failure |
| keywords[5].id | https://openalex.org/keywords/predictive-modelling |
| keywords[5].score | 0.4851292073726654 |
| keywords[5].display_name | Predictive modelling |
| keywords[6].id | https://openalex.org/keywords/binary-classification |
| keywords[6].score | 0.48171859979629517 |
| keywords[6].display_name | Binary classification |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.4788936674594879 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/medicine |
| keywords[8].score | 0.3094910681247711 |
| keywords[8].display_name | Medicine |
| keywords[9].id | https://openalex.org/keywords/internal-medicine |
| keywords[9].score | 0.17205959558486938 |
| keywords[9].display_name | Internal medicine |
| keywords[10].id | https://openalex.org/keywords/support-vector-machine |
| keywords[10].score | 0.1345006823539734 |
| keywords[10].display_name | Support vector machine |
| language | en |
| locations[0].id | doi:10.1016/j.compbiomed.2024.109110 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S44278595 |
| locations[0].source.issn | 0010-4825, 1879-0534 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0010-4825 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Computers in Biology and Medicine |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Computers in Biology and Medicine |
| locations[0].landing_page_url | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| locations[1].id | pmid:39243517 |
| 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 | Computers in biology and medicine |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39243517 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5022354043 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2197-5355 |
| authorships[0].author.display_name | Valeria Visco |
| authorships[0].countries | IT |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[0].institutions[0].id | https://openalex.org/I131729948 |
| authorships[0].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[0].institutions[0].country_code | IT |
| authorships[0].institutions[0].display_name | University of Salerno |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Valeria Visco |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[1].author.id | https://openalex.org/A5012825157 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3423-3374 |
| authorships[1].author.display_name | Antonio Robustelli |
| authorships[1].countries | IT |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. |
| authorships[1].institutions[0].id | https://openalex.org/I131729948 |
| authorships[1].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[1].institutions[0].country_code | IT |
| authorships[1].institutions[0].display_name | University of Salerno |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Antonio Robustelli |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. |
| authorships[2].author.id | https://openalex.org/A5083373046 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6615-3662 |
| authorships[2].author.display_name | Francesco Loria |
| authorships[2].countries | IT |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[2].institutions[0].id | https://openalex.org/I131729948 |
| authorships[2].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[2].institutions[0].country_code | IT |
| authorships[2].institutions[0].display_name | University of Salerno |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Francesco Loria |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[3].author.id | https://openalex.org/A5113971552 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Antonella Rispoli |
| authorships[3].countries | IT |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210134772 |
| authorships[3].affiliations[0].raw_affiliation_string | University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[3].institutions[0].id | https://openalex.org/I4210134772 |
| authorships[3].institutions[0].ror | https://ror.org/04etf9p48 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210134772 |
| authorships[3].institutions[0].country_code | IT |
| authorships[3].institutions[0].display_name | Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Antonella Rispoli |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[4].author.id | https://openalex.org/A5107700049 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Francesca Palmieri |
| authorships[4].countries | IT |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[4].institutions[0].id | https://openalex.org/I131729948 |
| authorships[4].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[4].institutions[0].country_code | IT |
| authorships[4].institutions[0].display_name | University of Salerno |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Francesca Palmieri |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy. |
| authorships[5].author.id | https://openalex.org/A5062391924 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-5247-9901 |
| authorships[5].author.display_name | Alessia Bramanti |
| authorships[5].countries | IT |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I131729948, https://openalex.org/I4210134772 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[5].institutions[0].id | https://openalex.org/I4210134772 |
| authorships[5].institutions[0].ror | https://ror.org/04etf9p48 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210134772 |
| authorships[5].institutions[0].country_code | IT |
| authorships[5].institutions[0].display_name | Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona |
| authorships[5].institutions[1].id | https://openalex.org/I131729948 |
| authorships[5].institutions[1].ror | https://ror.org/0192m2k53 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I131729948 |
| authorships[5].institutions[1].country_code | IT |
| authorships[5].institutions[1].display_name | University of Salerno |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Alessia Bramanti |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[6].author.id | https://openalex.org/A5066345002 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2689-0008 |
| authorships[6].author.display_name | Albino Carrizzo |
| authorships[6].countries | IT |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I131729948, https://openalex.org/I3018288129 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, Via Atinense, 18, Pozzilli (IS), 86077, Italy. |
| authorships[6].institutions[0].id | https://openalex.org/I3018288129 |
| authorships[6].institutions[0].ror | https://ror.org/00cpb6264 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I3018288129, https://openalex.org/I4210153126 |
| authorships[6].institutions[0].country_code | IT |
| authorships[6].institutions[0].display_name | Istituto Neurologico Mediterraneo |
| authorships[6].institutions[1].id | https://openalex.org/I131729948 |
| authorships[6].institutions[1].ror | https://ror.org/0192m2k53 |
| authorships[6].institutions[1].type | education |
| authorships[6].institutions[1].lineage | https://openalex.org/I131729948 |
| authorships[6].institutions[1].country_code | IT |
| authorships[6].institutions[1].display_name | University of Salerno |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Albino Carrizzo |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, Via Atinense, 18, Pozzilli (IS), 86077, Italy. |
| authorships[7].author.id | https://openalex.org/A5085584750 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-2473-4565 |
| authorships[7].author.display_name | Carmine Vecchione |
| authorships[7].countries | IT |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I131729948, https://openalex.org/I3018288129 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy; Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, Via Atinense, 18, Pozzilli (IS), 86077, Italy. |
| authorships[7].institutions[0].id | https://openalex.org/I3018288129 |
| authorships[7].institutions[0].ror | https://ror.org/00cpb6264 |
| authorships[7].institutions[0].type | healthcare |
| authorships[7].institutions[0].lineage | https://openalex.org/I3018288129, https://openalex.org/I4210153126 |
| authorships[7].institutions[0].country_code | IT |
| authorships[7].institutions[0].display_name | Istituto Neurologico Mediterraneo |
| authorships[7].institutions[1].id | https://openalex.org/I131729948 |
| authorships[7].institutions[1].ror | https://ror.org/0192m2k53 |
| authorships[7].institutions[1].type | education |
| authorships[7].institutions[1].lineage | https://openalex.org/I131729948 |
| authorships[7].institutions[1].country_code | IT |
| authorships[7].institutions[1].display_name | University of Salerno |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Carmine Vecchione |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy; Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, Via Atinense, 18, Pozzilli (IS), 86077, Italy. |
| authorships[8].author.id | https://openalex.org/A5039135286 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-1760-5527 |
| authorships[8].author.display_name | Francesco Palmieri |
| authorships[8].countries | IT |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[8].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. |
| authorships[8].institutions[0].id | https://openalex.org/I131729948 |
| authorships[8].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[8].institutions[0].country_code | IT |
| authorships[8].institutions[0].display_name | University of Salerno |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Francesco Palmieri |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. |
| authorships[9].author.id | https://openalex.org/A5010917210 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-2379-1960 |
| authorships[9].author.display_name | Michele Ciccarelli |
| authorships[9].countries | IT |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I131729948, https://openalex.org/I4210134772 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[9].institutions[0].id | https://openalex.org/I4210134772 |
| authorships[9].institutions[0].ror | https://ror.org/04etf9p48 |
| authorships[9].institutions[0].type | healthcare |
| authorships[9].institutions[0].lineage | https://openalex.org/I4210134772 |
| authorships[9].institutions[0].country_code | IT |
| authorships[9].institutions[0].display_name | Ospedali Riuniti San Giovanni di Dio e Ruggi d'Aragona |
| authorships[9].institutions[1].id | https://openalex.org/I131729948 |
| authorships[9].institutions[1].ror | https://ror.org/0192m2k53 |
| authorships[9].institutions[1].type | education |
| authorships[9].institutions[1].lineage | https://openalex.org/I131729948 |
| authorships[9].institutions[1].country_code | IT |
| authorships[9].institutions[1].display_name | University of Salerno |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Michele Ciccarelli |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, Baronissi (SA), 84081, Italy; University Hospital San Giovanni di Dio e Ruggi d'Aragona, Largo Città Ippocrate, Salerno, 84131, Italy. |
| authorships[10].author.id | https://openalex.org/A5029884896 |
| authorships[10].author.orcid | https://orcid.org/0000-0001-7164-5736 |
| authorships[10].author.display_name | Gianni D’Angelo |
| authorships[10].countries | IT |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I131729948 |
| authorships[10].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. Electronic address: [email protected]. |
| authorships[10].institutions[0].id | https://openalex.org/I131729948 |
| authorships[10].institutions[0].ror | https://ror.org/0192m2k53 |
| authorships[10].institutions[0].type | education |
| authorships[10].institutions[0].lineage | https://openalex.org/I131729948 |
| authorships[10].institutions[0].country_code | IT |
| authorships[10].institutions[0].display_name | University of Salerno |
| authorships[10].author_position | last |
| authorships[10].raw_author_name | Gianni D'Angelo |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (SA), 84084, Italy. Electronic address: [email protected]. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | An explainable model for predicting Worsening Heart Failure based on genetic programming |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10821 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9936000108718872 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2705 |
| primary_topic.subfield.display_name | Cardiology and Cardiovascular Medicine |
| primary_topic.display_name | Cardiovascular Function and Risk Factors |
| related_works | https://openalex.org/W588655279, https://openalex.org/W2383994333, https://openalex.org/W642714463, https://openalex.org/W2099628268, https://openalex.org/W44894489, https://openalex.org/W2164703220, https://openalex.org/W1971758741, https://openalex.org/W4382934300, https://openalex.org/W2121061354, https://openalex.org/W4285388059 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1016/j.compbiomed.2024.109110 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S44278595 |
| best_oa_location.source.issn | 0010-4825, 1879-0534 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0010-4825 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Computers in Biology and Medicine |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Computers in Biology and Medicine |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| primary_location.id | doi:10.1016/j.compbiomed.2024.109110 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S44278595 |
| primary_location.source.issn | 0010-4825, 1879-0534 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0010-4825 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Computers in Biology and Medicine |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Computers in Biology and Medicine |
| primary_location.landing_page_url | https://doi.org/10.1016/j.compbiomed.2024.109110 |
| publication_date | 2024-09-06 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4367183877, https://openalex.org/W3119516533, https://openalex.org/W3126322559, https://openalex.org/W3013926099, https://openalex.org/W3094443877, https://openalex.org/W2004547553, https://openalex.org/W2787243699, https://openalex.org/W4317797124, https://openalex.org/W4200010845, https://openalex.org/W2778358228, https://openalex.org/W4225347712, https://openalex.org/W3046702941, https://openalex.org/W3200888287, https://openalex.org/W1589227979, https://openalex.org/W3043428679, https://openalex.org/W3012582253, https://openalex.org/W6849662129, https://openalex.org/W4288855645, https://openalex.org/W2972790513, https://openalex.org/W3151010788, https://openalex.org/W3045239073, https://openalex.org/W6774378264, https://openalex.org/W3012063106, https://openalex.org/W4307111701, https://openalex.org/W2809925683, https://openalex.org/W6784512077, https://openalex.org/W6726258750, https://openalex.org/W6737947904, https://openalex.org/W6807408237, https://openalex.org/W4290422689, https://openalex.org/W4281287149, https://openalex.org/W3087663496, https://openalex.org/W3012665221, https://openalex.org/W6841218036, https://openalex.org/W6803246151, https://openalex.org/W3183411741, https://openalex.org/W4321766254, https://openalex.org/W6854995943, https://openalex.org/W6792304400, https://openalex.org/W2890200636, https://openalex.org/W6764867706, https://openalex.org/W6849222999, https://openalex.org/W2040492000, https://openalex.org/W4366429305, https://openalex.org/W4317746092, https://openalex.org/W4210520398, https://openalex.org/W2124624517, https://openalex.org/W2894839648, https://openalex.org/W4366083921, https://openalex.org/W3205762043, https://openalex.org/W3179874681, https://openalex.org/W2051006189, https://openalex.org/W3115041411, https://openalex.org/W3000607175, https://openalex.org/W2920817146, https://openalex.org/W3210584845, https://openalex.org/W4316038108, https://openalex.org/W3207866969, https://openalex.org/W4231258871, https://openalex.org/W1542000206, https://openalex.org/W4319752841, https://openalex.org/W4232994680, https://openalex.org/W4385335928, https://openalex.org/W2962862931, https://openalex.org/W4301704112, https://openalex.org/W2754472824, https://openalex.org/W2014574528, https://openalex.org/W4213231978 |
| referenced_works_count | 68 |
| abstract_inverted_index.a | 4, 19, 38, 56, 99, 129, 148, 154, 197, 255, 299 |
| abstract_inverted_index.3D | 198 |
| abstract_inverted_index.HF | 15, 226, 282 |
| abstract_inverted_index.We | 146 |
| abstract_inverted_index.an | 140 |
| abstract_inverted_index.as | 18, 121 |
| abstract_inverted_index.at | 55, 224, 286 |
| abstract_inverted_index.by | 44, 283 |
| abstract_inverted_index.in | 21, 37, 53, 67, 301 |
| abstract_inverted_index.is | 30, 41, 70, 84, 169, 186 |
| abstract_inverted_index.of | 13, 28, 50, 59, 64, 73, 94, 134, 143, 181, 212, 228, 232, 238, 269, 289 |
| abstract_inverted_index.on | 114, 153 |
| abstract_inverted_index.to | 32, 91, 97, 110, 127, 172, 206, 277 |
| abstract_inverted_index.519 | 221 |
| abstract_inverted_index.96% | 256 |
| abstract_inverted_index.HF, | 29 |
| abstract_inverted_index.Our | 272 |
| abstract_inverted_index.WHF | 36, 136, 168, 185, 290 |
| abstract_inverted_index.all | 260 |
| abstract_inverted_index.and | 10, 23, 25, 79, 117, 175, 184, 264, 291, 298 |
| abstract_inverted_index.are | 107 |
| abstract_inverted_index.can | 204 |
| abstract_inverted_index.due | 90 |
| abstract_inverted_index.for | 6, 77, 195, 259, 281 |
| abstract_inverted_index.has | 274 |
| abstract_inverted_index.its | 82 |
| abstract_inverted_index.not | 87 |
| abstract_inverted_index.our | 7, 239 |
| abstract_inverted_index.see | 118 |
| abstract_inverted_index.the | 62, 92, 144, 159, 179, 190, 209, 225, 229, 236, 242, 250, 267, 275 |
| abstract_inverted_index.use | 205 |
| abstract_inverted_index.(HF) | 2 |
| abstract_inverted_index.CAD, | 176 |
| abstract_inverted_index.This | 124, 163 |
| abstract_inverted_index.WHF. | 60 |
| abstract_inverted_index.aims | 126 |
| abstract_inverted_index.also | 138 |
| abstract_inverted_index.data | 219 |
| abstract_inverted_index.easy | 141 |
| abstract_inverted_index.even | 177 |
| abstract_inverted_index.from | 158, 220 |
| abstract_inverted_index.have | 234 |
| abstract_inverted_index.high | 287 |
| abstract_inverted_index.make | 111 |
| abstract_inverted_index.more | 293 |
| abstract_inverted_index.most | 243 |
| abstract_inverted_index.part | 72 |
| abstract_inverted_index.risk | 58, 288 |
| abstract_inverted_index.role | 63 |
| abstract_inverted_index.such | 51 |
| abstract_inverted_index.that | 40, 167 |
| abstract_inverted_index.used | 245 |
| abstract_inverted_index.Heart | 0 |
| abstract_inverted_index.about | 102 |
| abstract_inverted_index.based | 113 |
| abstract_inverted_index.black | 122 |
| abstract_inverted_index.built | 152 |
| abstract_inverted_index.early | 11 |
| abstract_inverted_index.fully | 265 |
| abstract_inverted_index.model | 132, 156, 164, 193 |
| abstract_inverted_index.novel | 130 |
| abstract_inverted_index.often | 85, 108 |
| abstract_inverted_index.phase | 39 |
| abstract_inverted_index.poses | 3 |
| abstract_inverted_index.rapid | 294 |
| abstract_inverted_index.sPAP, | 174 |
| abstract_inverted_index.score | 258 |
| abstract_inverted_index.signs | 27 |
| abstract_inverted_index.staff | 203 |
| abstract_inverted_index.study | 125 |
| abstract_inverted_index.their | 103 |
| abstract_inverted_index.these | 95, 119, 182 |
| abstract_inverted_index.usage | 83 |
| abstract_inverted_index.using | 216 |
| abstract_inverted_index.valid | 100 |
| abstract_inverted_index.vital | 31 |
| abstract_inverted_index.which | 201 |
| abstract_inverted_index.while | 137 |
| abstract_inverted_index.would | 46 |
| abstract_inverted_index.(WHF), | 16 |
| abstract_inverted_index.Clinic | 227 |
| abstract_inverted_index.allows | 194 |
| abstract_inverted_index.almost | 187 |
| abstract_inverted_index.better | 207 |
| abstract_inverted_index.binary | 150 |
| abstract_inverted_index.boxes. | 123 |
| abstract_inverted_index.enable | 47 |
| abstract_inverted_index.events | 52 |
| abstract_inverted_index.health | 8 |
| abstract_inverted_index.higher | 57 |
| abstract_inverted_index.impact | 278 |
| abstract_inverted_index.linked | 171 |
| abstract_inverted_index.model, | 240 |
| abstract_inverted_index.models | 96, 120 |
| abstract_inverted_index.output | 104 |
| abstract_inverted_index.prompt | 48 |
| abstract_inverted_index.staff. | 271 |
| abstract_inverted_index.though | 178 |
| abstract_inverted_index.Failure | 1 |
| abstract_inverted_index.Genetic | 160 |
| abstract_inverted_index.Indeed, | 249 |
| abstract_inverted_index.Salerno | 233 |
| abstract_inverted_index.average | 257 |
| abstract_inverted_index.capable | 133 |
| abstract_inverted_index.clearly | 165 |
| abstract_inverted_index.closely | 170 |
| abstract_inverted_index.defined | 17 |
| abstract_inverted_index.derived | 157 |
| abstract_inverted_index.develop | 128 |
| abstract_inverted_index.machine | 246 |
| abstract_inverted_index.medical | 202, 270 |
| abstract_inverted_index.metrics | 263 |
| abstract_inverted_index.propose | 147 |
| abstract_inverted_index.provide | 98 |
| abstract_inverted_index.results | 116 |
| abstract_inverted_index.treated | 223 |
| abstract_inverted_index.Although | 61 |
| abstract_inverted_index.GP-based | 252 |
| abstract_inverted_index.Hospital | 231 |
| abstract_inverted_index.However, | 189 |
| abstract_inverted_index.achieved | 254 |
| abstract_inverted_index.becoming | 71 |
| abstract_inverted_index.clinical | 24, 74, 210, 279 |
| abstract_inverted_index.commonly | 244 |
| abstract_inverted_index.complex. | 188 |
| abstract_inverted_index.controls | 268 |
| abstract_inverted_index.diseases | 69 |
| abstract_inverted_index.learning | 247 |
| abstract_inverted_index.patients | 54, 222, 285 |
| abstract_inverted_index.practice | 280 |
| abstract_inverted_index.proposed | 191, 251 |
| abstract_inverted_index.reliable | 89 |
| abstract_inverted_index.results. | 105 |
| abstract_inverted_index.solution | 273 |
| abstract_inverted_index.symptoms | 22 |
| abstract_inverted_index.systems, | 9 |
| abstract_inverted_index.targeted | 296 |
| abstract_inverted_index.Worsening | 14 |
| abstract_inverted_index.approach. | 162 |
| abstract_inverted_index.challenge | 5 |
| abstract_inverted_index.collected | 218 |
| abstract_inverted_index.conducted | 215 |
| abstract_inverted_index.currently | 42 |
| abstract_inverted_index.decisions | 112 |
| abstract_inverted_index.detection | 12 |
| abstract_inverted_index.graphical | 199 |
| abstract_inverted_index.improving | 33 |
| abstract_inverted_index.indicates | 166 |
| abstract_inverted_index.outcomes. | 145 |
| abstract_inverted_index.patients. | 213 |
| abstract_inverted_index.potential | 276 |
| abstract_inverted_index.practice, | 75 |
| abstract_inverted_index.providing | 139, 196 |
| abstract_inverted_index.purposes, | 81 |
| abstract_inverted_index.reduction | 300 |
| abstract_inverted_index.reluctant | 109 |
| abstract_inverted_index.situation | 211 |
| abstract_inverted_index.supported | 266 |
| abstract_inverted_index.treatment | 49 |
| abstract_inverted_index.variables | 183 |
| abstract_inverted_index.Artificial | 65 |
| abstract_inverted_index.Physicians | 106 |
| abstract_inverted_index.Predicting | 35 |
| abstract_inverted_index.University | 230 |
| abstract_inverted_index.classifier | 151, 253 |
| abstract_inverted_index.completely | 88 |
| abstract_inverted_index.considered | 86, 261 |
| abstract_inverted_index.diagnosis, | 295 |
| abstract_inverted_index.diagnostic | 78, 131 |
| abstract_inverted_index.especially | 76 |
| abstract_inverted_index.evaluation | 262 |
| abstract_inverted_index.incapacity | 93 |
| abstract_inverted_index.physicians | 45 |
| abstract_inverted_index.predicting | 135 |
| abstract_inverted_index.prognosis. | 34 |
| abstract_inverted_index.prognostic | 80 |
| abstract_inverted_index.surpassing | 241 |
| abstract_inverted_index.treatment, | 297 |
| abstract_inverted_index.understand | 208 |
| abstract_inverted_index.Experiments | 214 |
| abstract_inverted_index.Programming | 161 |
| abstract_inverted_index.algorithms. | 248 |
| abstract_inverted_index.creatinine, | 173 |
| abstract_inverted_index.explanation | 101 |
| abstract_inverted_index.identifying | 284 |
| abstract_inverted_index.unjustified | 115 |
| abstract_inverted_index.Intelligence | 66 |
| abstract_inverted_index.demonstrated | 235 |
| abstract_inverted_index.facilitating | 292 |
| abstract_inverted_index.instrumental | 26 |
| abstract_inverted_index.mathematical | 155, 192 |
| abstract_inverted_index.relationship | 180 |
| abstract_inverted_index.deterioration | 20 |
| abstract_inverted_index.effectiveness | 237 |
| abstract_inverted_index.undiagnosable | 43 |
| abstract_inverted_index.cardiovascular | 68 |
| abstract_inverted_index.interpretation | 142 |
| abstract_inverted_index.representation, | 200 |
| abstract_inverted_index.retrospectively | 217 |
| abstract_inverted_index.threshold-based | 149 |
| abstract_inverted_index.hospitalizations. | 302 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| citation_normalized_percentile.value | 0.85473229 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |