Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models offer a more accurate alternative for predicting outcomes by anal...

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Bibliographic Details
Main Authors: Ling Xu, Guang Tu, Zhonglan Cai, Tianbi Lan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0330197
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