Are machine learning models superior to logistic regression models to predict 30-day mortality post-hip fracture surgery?

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Bibliographic Details
Title: Are machine learning models superior to logistic regression models to predict 30-day mortality post-hip fracture surgery?
Authors: Issa Z; Division of Endocrinology, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon., Trad F; Electrical and Computer Engineering Department, American University of Beirut, Beirut 1107 2020, Lebanon.; Electrical and Computer Engineering Department, Lebanese American University, Byblos P.O. Box 36, Lebanon., Yammine R; Division of Endocrinology, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon.; Calcium Metabolism and Osteoporosis Program, WHO Collaborating Center for Metabolic Bone Disorders, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon., Rhayem C; Division of Endocrinology, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon., Ghosn A; Division of Endocrinology, Memorial Sloan Kettering, New York, NY 10065, United States., Alwan J; Department of Pediatric Emergency Medicine, Children's Hospital of Michigan, Detroit, MI 48201, United States., Tamim H; Department of Internal Medicine, Clinical Research Institute, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon.; College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia., Haidar R; Division of Orthopedic Surgery, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon., Chehab A; Electrical and Computer Engineering Department, American University of Beirut, Beirut 1107 2020, Lebanon., El-Hajj Fuleihan G; Division of Endocrinology, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon.; Calcium Metabolism and Osteoporosis Program, WHO Collaborating Center for Metabolic Bone Disorders, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon.
Source: JBMR plus [JBMR Plus] 2026 Apr 28; Vol. 10 (7), pp. ziag079. Date of Electronic Publication: 2026 Apr 28 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101707013 Publication Model: eCollection Cited Medium: Internet ISSN: 2473-4039 (Electronic) Linking ISSN: 24734039 NLM ISO Abbreviation: JBMR Plus Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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