Evaluating prediction algorithm of malignant ventricular arrythmia for earlier prediction time on heterogenous databases

Prediction of malignant ventricular arrhythmia (mVA) is utmost imperative to enable earlier medical intervention and prevent sudden cardiac death (SCD). However, patients with a history of coronary artery disease (CAD) and congestive heart failure (CHF) are at higher risk of SCD. This thesis aimed t...

全面介绍

书目详细资料
主要作者: Mok, William Wen Leng
格式: Thesis
语言:英语
出版: 2022
主题:
在线阅读:http://eprints.utm.my/99585/1/MokWenLengMSKE2022.pdf