Machine learning–based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study

Machine learning–based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study

Abstract Purpose To evaluate machine learning–based survival model roles in predicting rehospitalization after hip fractures to improve reduce the burden on the healthcare system. Methods This retrospective cohort study examined 718 patients with hip fractures hospitalized at the Daejeon Eulji Medic...

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Bibliographic Details
Main Authors: Juahn Oh, Minah Park, Yonghan Cha, Jae-Hyun Kim, Seung Hoon Kim
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Musculoskeletal Disorders
Subjects:
Hip fracture
Rehospitalization
Machine learning
Survival analysis
Gradient boosting
Cox proportional hazards
Online Access:https://doi.org/10.1186/s12891-025-08710-z
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https://doi.org/10.1186/s12891-025-08710-z

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