Machine Learning–Based risk stratification for in-hospital mortality in ICU patients with cardiovascular diseases and diabetes

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Cardiovascular disease and diabetes mellitus significantly increase in-hospital mortality risk among ICU patients.
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Machine learning techniques can effectively analyze high-dimensional data to predict mortality risk in ICU patients with cardiovascular conditions and diabetes.
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The study utilized two large ICU databases, MIMIC-IV and eICU-CRD, to develop and validate a predictive model for in-hospital mortality.
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SHAP was employed to clarify the contributions of various clinical variables in the machine learning model.
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The developed model aims to provide individualized risk stratification for ICU patients with cardiovascular disease and diabetes.

Digital Health

by Huabin He, Yanze Wu, Ruyi Tao, Huijian Wang, Huangxin Zhu, Qingyun Yu, Qingan Fu
May 11, 2026

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