Development of numerical model-based machine learning algorithms for different healing stages of distal radius fracture healing Article Swipe
Xuanchi Liu
,
Saeed Miramini
,
Minoo Patel
,
Peter R. Ebeling
,
JinJing Liao
,
Lihai Zhang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cmpb.2023.107464
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.cmpb.2023.107464
ML represents a promising approach for developing efficient and effective patient-specific rehabilitation strategies. However, ML algorithms at different healing stages need to be carefully chosen before being implemented in clinical applications.
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.cmpb.2023.107464
- OA Status
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- Cited By
- 19
- References
- 58
- Related Works
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- OpenAlex ID
- https://openalex.org/W4323275841
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323275841Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.cmpb.2023.107464Digital Object Identifier
- Title
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Development of numerical model-based machine learning algorithms for different healing stages of distal radius fracture healingWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-05Full publication date if available
- Authors
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Xuanchi Liu, Saeed Miramini, Minoo Patel, Peter R. Ebeling, JinJing Liao, Lihai ZhangList of authors in order
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https://doi.org/10.1016/j.cmpb.2023.107464Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.cmpb.2023.107464Direct OA link when available
- Concepts
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Algorithm, Bone healing, Computer science, Machine learning, Stage (stratigraphy), Artificial intelligence, Medicine, Surgery, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
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19Total citation count in OpenAlex
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2025: 9, 2024: 5, 2023: 5Per-year citation counts (last 5 years)
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58Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Computer Methods and Programs in Biomedicine |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.cmpb.2023.107464 |
| primary_location.id | doi:10.1016/j.cmpb.2023.107464 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S138959710 |
| primary_location.source.issn | 0169-2607, 1872-7565 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0169-2607 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Computer Methods and Programs in Biomedicine |
| 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 | Computer Methods and Programs in Biomedicine |
| primary_location.landing_page_url | https://doi.org/10.1016/j.cmpb.2023.107464 |
| publication_date | 2023-03-05 |
| publication_year | 2023 |
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| referenced_works_count | 58 |
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| abstract_inverted_index.ML | 0, 14 |
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| abstract_inverted_index.be | 22 |
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| abstract_inverted_index.before | 25 |
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| abstract_inverted_index.promising | 3 |
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| abstract_inverted_index.strategies. | 12 |
| abstract_inverted_index.applications. | 30 |
| abstract_inverted_index.rehabilitation | 11 |
| abstract_inverted_index.patient-specific | 10 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5054640457 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I165779595 |
| citation_normalized_percentile.value | 0.97560848 |
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| citation_normalized_percentile.is_in_top_10_percent | True |