Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia

Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia

Background: The ability to assess adverse outcomes in patients with community-acquired pneumonia (CAP) could improve clinical decision-making to enhance clinical practice, but the studies remain insufficient, and similarly, few machine learning (ML) models have been developed.Objective: We aimed to...

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Bibliographic Details
Main Authors: Zhixiao Xu, Kun Guo, Weiwei Chu, Jingwen Lou, Chengshui Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
machine learning
community-acquired pneumonia
CAP
adverse outcomes
XGBoost
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.903426/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.903426/full

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