Application of machine learning models on predicting the length of hospital stay in fragility fracture patients

Application of machine learning models on predicting the length of hospital stay in fragility fracture patients

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...

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Bibliographic Details
Main Authors: Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau, Sheung-Wai Law
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Fragility fracture
Predictive medicine
Length of stay
Geriatric hip fracture
Online Access:https://doi.org/10.1186/s12911-024-02417-2

Internet

https://doi.org/10.1186/s12911-024-02417-2

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