Application of machine learning models on predicting the length of hospital stay in fragility fracture patients
Chun-Hei Lai,
Prudence Kwan-Lam Mok,
Wai-Wang Chau
et al.
Abstract:Background
The rate of geriatric hip fracture in Hong Kong is increasing steadily and associated mortality in fragility fracture is high. Moreover, fragility fracture patients increase the pressure on hospital bed demand. Hence, this study aims to develop a predictive model on the length of hospital stay (LOS) of geriatric fragility fracture patients using machine learning (ML) techniques.
Methods
In this study, we use the basic information, such a… Show more
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