Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach

Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach

Abstract Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress of AMI involves immune cell infiltration. However, suitable clinical diagnostic biomarkers and the roles of immune cells in AMI remain unknown. Three datasets (GSE61145, GSE34198, and GSE6636...

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Bibliographic Details
Main Authors: Huali Jiang, Weijie Chen, Benfa Chen, Tao Feng, Heng Li, Dan Li, Shanhua Wang, Weijie Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Acute myocardial infarction
Immune cell infiltration
Machine learning
Diagnosis
Bioinformatics
Online Access:https://doi.org/10.1038/s41598-025-11957-0
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https://doi.org/10.1038/s41598-025-11957-0

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