Optimizing Acute Coronary Syndrome Patient Treatment: Leveraging Gated Transformer Models for Precise Risk Prediction and Management

Background: Acute coronary syndrome (ACS) is a severe cardiovascular disease with globally rising incidence and mortality rates. Traditional risk assessment tools are widely used but are limited due to the complexity of the data. Methods: This study introduces a gated Transformer model utilizing mac...

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Bibliographic Details

Published in:	Bioengineering
Main Authors:	Yingxue Mei, Zicai Jin, Weiguo Ma, Yingjun Ma, Ning Deng, Zhiyuan Fan, Shujun Wei
Format:	Article
Language:	English
Published:	MDPI AG 2024-05-01
Subjects:	acute coronary syndrome major adverse cardiovascular events transformer machine learning risk assessment patient management
Online Access:	https://www.mdpi.com/2306-5354/11/6/551