Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure

Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure

<b>Background:</b> Heart failure (HF) ranks among the foremost causes of mortality globally, exhibiting particularly high prevalence and significant impact within intensive care units (ICUs). This study sought to develop, validate, and deploy a time-dependent machine learning model aimed...

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Bibliographic Details
Main Authors: Jiuyi Wang, Qingxia Kang, Shiqi Tian, Shunli Zhang, Kai Wang, Guibo Feng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
heart failure
intensive care unit
machine learning
time-dependent
random survival forest
XGBoost
Online Access:https://www.mdpi.com/2306-5354/12/5/511
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