Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

BackgroundSepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in pr...

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Bibliographic Details
Main Authors: Hongsheng Wu, Biling Liao, Tengfei Ji, Keqiang Ma, Yumei Luo, Shengmin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
machine learning
random forest
logistic regression
adult sepsis
mortality
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1496869/full
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