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...

書目詳細資料
主要作者:	Mok, William Wen Leng
格式:	Thesis
語言:	英语
出版:	2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/99585/1/MokWenLengMSKE2022.pdf

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