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...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Online Access: | http://eprints.utm.my/id/eprint/99585/1/MokWenLengMSKE2022.pdf http://eprints.utm.my/id/eprint/99585/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149784 |
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