Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit

Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit

Background Sepsis is the leading cause of mortality in critically ill cancer patients; however, traditional prognostic models fail to capture the complexity of their immune and physiological interactions. Methods This retrospective study analyzed electronic health records from the Medical Informatio...

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Main Authors: Xiang Luo, Xiuji Kan, Dongliang Wang, Yu Shi, Siqi Zhu, Zhenyu Chen, Congcong Wang, Wenqi Zhu, Xiangtong Wang, Wenwen Sun
Format: Article
Language:English
Published: SAGE Publishing 2025-08-01
Series:Journal of International Medical Research
Online Access:https://doi.org/10.1177/03000605251362991
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