Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors

Level II, Prognostic Study. See Instructions for Authors for a complete description of levels of evidence.

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Publication Details

Journal
JBJS Open Access
Published
2025-04-01
DOI
https://doi.org/10.2106/jbjs.oa.24.00213
Citations
3
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.56
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article

Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors

Anthony Bozzo, Jiawen Deng, Michelle Ghert, Madhur Nayan et al.
3 citations
JBJS Open Access
Sarcoma Diagnosis and Treatment
4.56
article

Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors

Anthony Bozzo, Jiawen Deng, Michelle Ghert, Madhur Nayan, Sahir Bhatnagar, Myron Moskalyk, Ahmed Aoude
article en
3 citations

Abstract

Level II, Prognostic Study. See Instructions for Authors for a complete description of levels of evidence.

JBJS Open AccessVol. 10(2)
University of Maryland, Baltimore (US), University of Toronto (CA), Queen's University (CA), Public Health Ontario (CA), McGill University (CA), New York University (US), McMaster University (CA)
Good health and well-being
Openalex Percentile: Top 6%
Sarcoma Diagnosis and Treatment
4.56
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Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors — Anthony Bozzo, Jiawen Deng, et al. · JBJS Open Access (2025) | TGRS Research Map | TGRS