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...

書誌詳細
第一著者:	Mok, William Wen Leng
フォーマット:	学位論文
言語:	英語
出版事項:	2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/99585/1/MokWenLengMSKE2022.pdf

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