Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A Clinical Decision Support System Based on Support Vector Machine and Binary Particle Swarm Optimisation for Cardiovascular Disease Diagnosis Publisher



Sali R1 ; Shavandi H1 ; Sadeghi M2
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
  2. 2. Cardiac Rehabilitation Research Center, Isfahan University of Medical Science, Isfahan, Iran

Source: International Journal of Data Mining and Bioinformatics Published:2016


Abstract

Cardiovascular diseases have been known as one of the main reasons of mortality all around the world. Nevertheless, this disease is preventable if it can be diagnosed in an early stage. Therefore, it is crucial to develop Clinical Decision Support Systems (CDSSs) that are able to help physicians diagnose the disease and its related risks. This study focuses on cardiovascular disease diagnosis in an Iranian community by developing a CDSS, based on Support Vector Machine (SVM) combined with Binary Particle Swarm Optimisation (BPSO). We used SVM as the classifier and benefited enormously from optimisation capabilities of BPSO in model development as well as feature selection. Finally, experiments were carried out on the proposed system using Isfahan Healthy Heart Program (IHHP) dataset and the performance of the system is compared with other commonly used classification algorithms in term of classification accuracy, sensitivity, specificity and GMean. © Copyright 2016 Inderscience Enterprises Ltd.
Related Docs
View other Related Docs
1. Application of Data Mining Techniques in Predicting Coronary Heart Disease: A Systematic Review, International Journal of Environmental Health Engineering (2021)
2. Diagnosis of Coronary Artery Disease Based on Machine Learning Algorithms Support Vector Machine, Artificial Neural Network, and Random Forest, Advanced Biomedical Research (2023)
3. Predicting Metabolic Syndrome Using Decision Tree and Support Vector Machine Methods, ARYA Atherosclerosis (2016)
4. Survey and Classification of Functional Characteristics in Neural Network Technique for the Diagnosis of Ischemic Heart Disease: A Systematic Review, Journal of Isfahan Medical School (2018)
5. A Hybrid Intelligent System for Diagnosing Microalbuminuria in Type 2 Diabetes Patients Without Having to Measure Urinary Albumin, Computers in Biology and Medicine (2014)
6. Association Between Work-Related Features and Coronary Artery Disease: A Heterogeneous Hybrid Feature Selection Integrated With Balancing Approach, Pattern Recognition Letters (2020)
7. A Hybrid Computer-Aided Diagnosis System for Central Obesity Screening in a Large Sample of Iranian Children and Adolescents, 2023 31st International Conference on Electrical Engineering, ICEE 2023 (2023)
8. Prediction and Control of Stroke by Data Mining, International Journal of Preventive Medicine (2013)
Experts (# of related papers)
View all Related Experts
Nizal Sarrafzadegan (7)
Marjan Mansourian (3)
Other Related Docs
9. Ne-Nu-Svc: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease, IEEE Access (2019)
10. A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease Diagnosis, Scientific Data (2019)
11. Learning Fuzzy Cognitive Map With Pso Algorithm for Grading Celiac Disease, 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering, ICBME 2016 (2017)
12. Machine Learning-Based Coronary Artery Disease Diagnosis: A Comprehensive Review, Computers in Biology and Medicine (2019)
13. Non-Invasive Detection of Coronary Artery Disease in High-Risk Patients Based on the Stenosis Prediction of Separate Coronary Arteries, Computer Methods and Programs in Biomedicine (2018)
14. Discriminant Analysis Between Myocardial Infarction Patients and Healthy Subjects Using Wavelet Transformed Signal Averaged Electrocardiogram and Probabilistic Neural Network, Journal of Medical Signals and Sensors (2013)
15. Diagnosis of Autoimmune Hepatitis With High-Order Fuzzy Cognitive Map, 2018 25th Iranian Conference on Biomedical Engineering and 2018 3rd International Iranian Conference on Biomedical Engineering, ICBME 2018 (2018)
16. A Hybrid Computer-Aided-Diagnosis System for Prediction of Breast Cancer Recurrence (Hpbcr) Using Optimized Ensemble Learning, Computational and Structural Biotechnology Journal (2017)
17. Extraction, Comparison, and Evaluation of Electrocardiography and Vectorcardiography Signals Features, Journal of Isfahan Medical School (2017)
18. Advanced Method Used for Hypertension’S Risk Factors Stratification: Support Vector Machines and Gravitational Search Algorithm, ARYA Atherosclerosis (2015)
19. Coronary Artery Disease Detection Using Computational Intelligence Methods, Knowledge-Based Systems (2016)
20. Identification of Myocardial Infarction Using Morphological Features of Electrocardiogram and Vectorcardiogram, IET Signal Processing (2021)
21. An Evolutionary Machine Learning Algorithm for Cardiovascular Disease Risk Prediction, PLoS ONE (2022)
22. A New Approach of Phonocardiogram Analysis for Screening Some of Cardio-Vascular Diseases Based on Deep Learning, Journal of Isfahan Medical School (2022)