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

被引：0

作者：

Juahn Oh ^{[1
]}

Minah Park ^{[2
]}

Yonghan Cha ^{[3
]}

Jae-Hyun Kim ^{[4
]}

Seung Hoon Kim ^{[5
]}

机构：

[1] Eulji University School of Medicine,Department of Ophthalmology

[2] Soonchunhyang University Hospital Cheonan,Department of Orthopedic Surgery, Daejeon Eulji Medical Center

[3] Soonchunhyang University College of Medicine,Institute for Digital Life Convergence

[4] The Dartmouth Institute for Health Policy and Clinical Practice,Department of Health Administration

[5] Geisel School of Medicine at Dartmouth,Institute of Health Services Research

[6] Eulji University School of Medicine,undefined

[7] Dankook University,undefined

[8] College of Health Science,undefined

[9] Dankook University,undefined

[10] Yonsei University,undefined

来源：

BMC Musculoskeletal Disorders | / 26卷 / 1期

关键词：

Hip fracture; Rehospitalization; Machine learning; Survival analysis; Gradient boosting; Cox proportional hazards; Random survival forest; Support vector machines; Feature importance; Predictive modeling;

D O I：

10.1186/s12891-025-08710-z

中图分类号：

学科分类号：

摘要：

引用