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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Veröffentlicht in:	Journal of proteome research Jg. 22; H. 3; S. 758
Hauptverfasser:	Liu, Wuping, Zhang, Lirong, Bao, Lijun, Shen, Guiping, Feng, Jianghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 03.03.2023
Schlagworte:	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-Zugang:	Weitere Angaben
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