An interpretable machine learning model for predicting mortality risk in adult ICU patients with acute respiratory distress syndrome

An interpretable machine learning model for predicting mortality risk in adult ICU patients with acute respiratory distress syndrome

BackgroundAcute respiratory distress syndrome (ARDS) is a clinical syndrome triggered by pulmonary or extra-pulmonary factors with high mortality and poor prognosis in the ICU. The aim of this study was to develop an interpretable machine learning predictive model to predict the risk of death in pat...

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Bibliographic Details
Main Authors: Wanyi Li, Hangyu Zhou, Yingxue Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
acute respiratory distress syndrome
machine learning
prediction model
mortality
ICU
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1580345/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1580345/full

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