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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Vydané v:	Journal of proteome research Ročník 22; číslo 3; s. 758
Hlavní autori:	Liu, Wuping, Zhang, Lirong, Bao, Lijun, Shen, Guiping, Feng, Jianghua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 03.03.2023
Predmet:	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
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