Effective diagnosis of heart disease through neural networks ensembles
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Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Mohan, S., Thirumalai, C., & Srivastava, G. (2019) · IEEE Access · doi:10.1109/access.2019.2923707 · Cited by 1,951 · see citing works
“The obtained results are compared with the results of existing models within the same domain and found to be improved [10].”
ResultHaq, A. U., Li, J. P., Memon, M. H., Nazir, S., & Sun, R. (2018) · Mobile Information Systems · doi:10.1155/2018/3860146 · Cited by 621 · see citing works
An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction
Samuel, O. W., Asogbon, G. M., Sangaiah, A. K., Fang, P., & Li, G. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.10.020 · Cited by 425 · see citing works
Association rule mining to detect factors which contribute to heart disease in males and females
Nahar, J., Imam, T., Tickle, K. S., & Chen, Y.-P. P. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.028 · Cited by 394 · see citing works
Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks
Uyar, K., & İlhan, A. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.11.283 · Cited by 208 · see citing works
An analytical method for diseases prediction using machine learning techniques
Nilashi, M., Ibrahim, O. B., Ahmadi, H., & Shahmoradi, L. (2017) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2017.06.011 · Cited by 190 · see citing works
Vijayashree, J., & Sultana, H. P. (2018) · Programming and Computer Software · doi:10.1134/s0361768818060129 · Cited by 130 · see citing works
Abdalrada, A. S., Abawajy, J., Al-Quraishi, T., & Islam, S. M. S. (2022) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00968-z · Cited by 78 · see citing works
A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals
Zia, J., Kimball, J., Hersek, S., Shandhi, M. M. H., Semiz, B., & Inan, O. T. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2931348 · Cited by 48 · see citing works
Ozdemir, F., Ari, A., Kilcik, M. H., Hanbay, D., & Sahin, I. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2020.110070 · Cited by 10 · see citing works
- Authors
- Das, R., Turkoglu, I., & Sengur, A.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 36
- Issue
- 4
- Pages
- 7675-7680
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2062302861
- Cited by
- 628
- References
- 0
- Citations by year
- 2026: 14 · 2025: 38 · 2024: 48 · 2023: 68 · 2022: 69 · 2021: 61 · 2020: 66 · 2019: 49 · 2018: 40 · 2017: 26 · 2016: 26 · 2015: 33 · 2014: 27 · 2013: 19 · 2012: 19
- FWCI
- 18.30
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Expert Systems with Applications (publishedVersion)
- DSpace - FIRAT (Fırat University) (submittedVersion, cc-by-nc-nd)
- Funders
- Firat Üniversitesi
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- heart disease diagnosis, neural network ensembles, clinical decision support systems, ensemble learning, classification accuracy, sensitivity and specificity
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