UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA (2022) Identification of Classification Method for Sudden Cardiac Death : A Review. .Even in this new millenium, SCD still remains one of leading and unresolved problems in clinical cardiology. One of the most important factors in determining heart conditions is ECG paramaters because ECG signals are the most common technique for doct.
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Abstract
.Even in this new millenium, SCD still remains one of leading and unresolved problems in clinical cardiology. One of the most important factors in determining heart conditions is ECG paramaters because ECG signals are the most common technique for doctors in analyzing SCD. For detecting and predicitng SCD, there are many methods various classification have been proposed to expose. Remainder of this paper to list out methods classification for SCD used Sytematic Literature Review (SLR). SLR was carried out and reported based on the preferred reporting items for systematic reviews. 13 papers we retrieved by manual serach in four databases. 6 primary studies were finally included to indentification and analyzed. The Classifcation method for SCD from primary studies is -Nearest Neighbour (kNN), Decision Tree (DT), Support Vektor Machine (SVM), Probabilistic Neural Network (PNN), Naive Bayes, Multilayer Perceptron (MLP) Neural Network, and Long Short Term Memory (LSTM) Recurrent Neural Network (RNN). The review provides researchers with some guidelines for future research on this topic
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Faculty of Law, Arts and Social Sciences > School of Education Faculty of Law, Arts and Social Sciences > School of Humanities |
| Depositing User: | Mr Edi Surya Negara |
| Date Deposited: | 16 Jun 2022 01:27 |
| Last Modified: | 16 Jun 2022 01:27 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/11076 |
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