A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures

A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures

BackgroundPost-operative mortality risk assessment for geriatric patients with hip fractures (HF) is a challenge for clinicians. Early identification of geriatric HF patients with a high risk of post-operative death is helpful for early intervention and improving clinical prognosis. However, a singl...

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Bibliographic Details
Main Authors: Fei Xing, Rong Luo, Ming Liu, Zongke Zhou, Zhou Xiang, Xin Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Medicine
Subjects:
machine learning
random forest
hip fracture
mortality
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.829977/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.829977/full

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