Construction of Novel Gene Signature-Based Predictive Model for the Diagnosis of Acute Myocardial Infarction by Combining Random Forest With Artificial Neural Network

Construction of Novel Gene Signature-Based Predictive Model for the Diagnosis of Acute Myocardial Infarction by Combining Random Forest With Artificial Neural Network

BackgroundAcute myocardial infarction (AMI) is one of the most common causes of mortality around the world. Early diagnosis of AMI contributes to improving prognosis. In our study, we aimed to construct a novel predictive model for the diagnosis of AMI using an artificial neural network (ANN), and w...

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Bibliographic Details
Main Authors: Yanze Wu, Hui Chen, Lei Li, Liuping Zhang, Kai Dai, Tong Wen, Jingtian Peng, Xiaoping Peng, Zeqi Zheng, Ting Jiang, Wenjun Xiong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
acute myocardial infarction
predictive model
novel gene signatures
random forest
artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.876543/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.876543/full

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