Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients

Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients

Abstract We developed an interpretable machine learning algorithm that prospectively predicts the risk of thrombocytopenia in older critically ill patients during their stay in the intensive care unit (ICU), ultimately aiding clinical decision-making and improving patient care. Data from 2286 geriat...

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Bibliographic Details
Main Authors: Yingting Xu, Weimin Zhang, Xuchao Ma, Muying Wu, Xuandong Jiang
Format: Article
Language:English
Published: Nature Portfolio 2024-07-01
Series:Scientific Reports
Subjects:
Geriatric patients
ICU
Postoperative
Thrombocytopenia
Machine learning
Predictive modeling
Online Access:https://doi.org/10.1038/s41598-024-67785-1

Internet

https://doi.org/10.1038/s41598-024-67785-1

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