Open access Jurnal SINTA 1
A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 2 (2022)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2022-04-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Heart disease is one of the most widely spreading and deadliest diseases across the world. In this study, we have proposed hybrid model for heart disease prediction by employing random forest and support vector machine. With random forest, iterative feature elimination is carried out to select heart disease features that improves predictive outcome of support vector machine for heart disease prediction. Experiment is conducted on the proposed model using test set and the experimental result evidently appears to prove that the performance of the proposed hybrid model is better as compared to an individual random forest and support vector machine. Overall, we have developed more accurate and computationally efficient model for heart disease prediction with accuracy of 98.3%. Moreover, experiment is conducted to analyze the effect of regularization parameter (C) and gamma on the performance of support vector machine. The experimental result evidently reveals that support vector machine is very sensitive to C and gamma.
Collaboration network of the authors
18 authors · 58 co-authorship links · 42 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- St. Peter's Institute of Higher Education and Research
- Injibara University
- Koneru Lakshmaiah Education Foundation
- Afe Babalola University
- Aksum University
- Rivers State University
- University of Port Harcourt
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ayodeji Olalekan Salau | Afe Babalola University | 7 |
| Amogne Andualem Ayalew | Mizan Tepi University | 3 |
| Melaku Lake Tegegne | Injibara University | 3 |
| Bommy Manivannan | Affiliation unknown | 3 |
| Battula Krishna Prasad | Koneru Lakshmaiah Education Foundation | 3 |
| Ravulapalli Lakshmi Tulasi | R.V. College of Engineering | 2 |
| Sangeetha Ganesan | Affiliation unknown | 2 |
| Radha Mothukuri | Koneru Lakshmaiah Education Foundation | 2 |
| Pramod Sekharan Nair | Aksum University | 1 |
| Crescent Onyebuchi Omeje | Rivers State University | 1 |
| Sepiribo Lucky Braide | University of Port Harcourt | 1 |
| Elisha Didam Markus | Central University of Technology | 1 |
| Joy Nnenna Eneh | University of Nigeria | 1 |
| Thankgod Izuchukwu Ozue | Saveetha University | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.