Machine learning for predicting acute myocardial infarction in patients with sepsis

Machine learning for predicting acute myocardial infarction in patients with sepsis

Abstract Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in intensive care units. While sepsis frequently affects the cardiovascular system, distinguishing between sepsis-induced cardiomyopathy and AMI remains challenging due to overlapping biomarkers. Mis...

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Bibliographic Details
Main Authors: Shusheng Fang, Hongjin Jin, Jiayu Zhang, Yali Wang, Wenyu Nan, Yanhao Feng, Wen Su, Xiaodong Jiang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Acute myocardial infarction
Sepsis
Machine learning
Prediction model
MIMIC-IV database
Online Access:https://doi.org/10.1038/s41598-024-80575-z
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https://doi.org/10.1038/s41598-024-80575-z

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