Accurate Classification and Prediction of Acute Myocardial Infarction through an ARMD Procedure

The risk stratification of acute myocardial infarction (AMI) patients is of prime importance for clinical management and prognosis assessment. Thus, we propose an ensemble machine learning analysis procedure named ADASYN-RFECV-MDA-DNN (ARMD) to address sample-unbalanced problems and enable stratific...

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Bibliographic Details

Published in:	Journal of proteome research Vol. 22; no. 3; p. 758
Main Authors:	Liu, Wuping, Zhang, Lirong, Bao, Lijun, Shen, Guiping, Feng, Jianghua
Format:	Journal Article
Language:	English
Published:	United States 03.03.2023
Subjects:	Humans Machine Learning Magnetic Resonance Imaging Myocardial Infarction - diagnosis Prognosis ROC Curve clinical classification machine learning metabolomics nuclear magnetic resonance acute myocardial infarction
ISSN:	1535-3907, 1535-3907
Online Access:	Get more information
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