Predicting Hospital Length of Stay in Orthopedic Trauma Patients Using Fracture‐Specific Machine Learning Models: A Multicenter Retrospective Prediction‐Modeling Study
- DOI
- 10.1002/hsr2.73225
- Published
- 2026-09
- Container
- Health Science Reports
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/hsr2.73225,
title = {Predicting Hospital Length of Stay in Orthopedic Trauma Patients Using Fracture‐Specific Machine Learning Models: A Multicenter Retrospective Prediction‐Modeling Study},
author = {Parviz Marouzi and Amir Ahmadi and Seyyedeh Fatemeh Mousavi Baigi and Mohammad H. Ebrahimzadeh and Seyyed Mohammad Tabatabaei and Masoumeh Sarbaz and Khalil Kimiafar},
year = {2026},
journal = {Health Science Reports},
doi = {10.1002/hsr2.73225},
url = {https://doi.org/10.1002/hsr2.73225}
}RIS
TY - JOUR TI - Predicting Hospital Length of Stay in Orthopedic Trauma Patients Using Fracture‐Specific Machine Learning Models: A Multicenter Retrospective Prediction‐Modeling Study AU - Parviz Marouzi AU - Amir Ahmadi AU - Seyyedeh Fatemeh Mousavi Baigi AU - Mohammad H. Ebrahimzadeh AU - Seyyed Mohammad Tabatabaei AU - Masoumeh Sarbaz AU - Khalil Kimiafar PY - 2026 JO - Health Science Reports DO - 10.1002/hsr2.73225 UR - https://doi.org/10.1002/hsr2.73225 ER -
APA
Marouzi, P., Ahmadi, A., Baigi, S. F. M., Ebrahimzadeh, M. H., Tabatabaei, S. M., Sarbaz, M., & Kimiafar, K. (2026). Predicting Hospital Length of Stay in Orthopedic Trauma Patients Using Fracture‐Specific Machine Learning Models: A Multicenter Retrospective Prediction‐Modeling Study. Health Science Reports. https://doi.org/10.1002/hsr2.73225
Source records
- crossref · retrieved 2026-09-25T09:18:10.194Z