Fuzzy-based Decision for Coronary Heart Disease Diagnosis: Systematic Literature Review


  • Afrina Safira Dianirani Bina Nusantara University
  • Zefanya Debby Claudia Bina Nusantara University




Coronary Heart Disease, Fuzzy-based System, Medical Diagnosis


Coronary heart disease is usually caused by a buildup of fatty material and plaque inside the coronary arteries. The death rate caused by coronary heart diseases is threatening around the world. For the past two decades, most of the people from developing countries are suffering from heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of death and also in reducing the cost of treatment. Decisions in medical diagnosis are mostly taken by expert’s experiences. In many cases, not all the expert’s experiences contribute towards effective diagnosis of a disease. Many alternative methods have been suggested for medical diagnosis in the healthcare domain. However, evaluating the functionality of coronary heart diseases diagnosis systems remains challenging. The purpose of this paper is to perform a study on literature related to fuzzy-based decision for diagnosis of coronary heart disease. Accordingly, the research gathered studies related to fuzzy-based decision for diagnosis of coronary heart disease between the periode 2016-2021.


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Laftah, Hussin Attya; Oleiwi, Wed Kadhim. (2017). A Fuzzy Petri Nets System for Heart Disease Diagnosis. Journal of Babylon University, Pure and Applied Sciences, 25.

Kasbe, T; Pippal, R. S. (2017). Design of Heart Disease Diagnosis System using Fuzzy Logic. International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS-2017), 3183–3187.

Kahtan, H; Zamli, K. Z; Fatthi, W. N; Abdullah, A; Abdulleteef, Mr; Kamarulzaman, N. S. (2018). Heart Disease Diagnosis System Using Fuzzy Logic. ICSCA 2018: Proceedings of the 2018 7th International Conference on Software and Computer Applications,

Umasankar, P; Thiagarasu, V. (2018). Decision Support System for Heart Disease Diagnosis Using Interval Vague Set and Fuzzy Association Rule Mining. Fourth International Conference on Devices, Circuits and Systems (ICDCS'18), 223-227.

Uyar, Kaan; İlhan, Ahmet. (2017). Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks. Procedia Computer Science, 120, 588–593.

Reddy, G. T; Reddy, M. P. K; Lakshmanna, K; Rajput, D. S; Kaluri, R; Srivastava, G. (2019). Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evolutionary Intelligence.

Alqudah, Ali Mohammad (2017). Fuzzy expert system for coronary heart disease diagnosis in Jordan. Health and Technology, 7(2-3), 215–222.

Hachesu, P. R; Soufi, M. D; Khara, R; Moftian, N; Soltani, S. T. (2019). A fuzzy mobile decision support system for diagnosing of the angiographic status of heart disease. IEngineering and Applied Science Research.

Naseer, Iftikhar; Khan, Bilal Shoaib; Saqib, Shazia; Tahir, Syed Nadeem; Tariq, Sheraz; Akhter, Muhammad Saleem. (2020). Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System. EAI Endorsed Transactions on Scalable Information Systems, 7(26).

Reddy, G. T; Khare, N. (2017). An Efficient System for Heart Disease Prediction Using Hybrid OFBAT with Rule-Based Fuzzy Logic Model. Journal of Circuits, Systems and Computers, 26(04), 1750061.

Hassan, Nasruddin; Sayed, Osama Rashed; Khalil, Ahmed Mostafa; Ghany, Mohamed Abdel. (2016). Fuzzy Soft Expert System in Prediction of Coronary Artery Disease. International Journal of Fuzzy Systems, 19(5), 1546–1559.

Jain, Prerna; Kaur, Amandeep. (2019). A Fuzzy Expert System for Coronary Artery Disease Diagnosis. ICAICR '19: Proceedings of the Third International Conference on Advanced Informatics for Computing Research, 47, 1-6.

Iancu, I. (2018). Heart disease diagnosis based on mediative fuzzy logic. Artificial Intelligence in Medicine, 89, 51–60.

Maomeri, S; Samadinai, N. (2018). Diagnosis of Coronary Artery Disease via a Novel Fuzzy Expert System Optimized by Cuckoo Search. IJE TRANSACTIONS, Vol. 31, No. 12, 2028-2036.

Sabahi, F. (2018). Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment. Journal of Biomedical Informatics, 83, 204–216.

Paul, A. K; Shill, P. C; Rabin, M. R. I; Murase, K. (2017). Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease. Applied Intelligence, 48(7), 1739–1756.

Sharma, P., & Saxena, K. (2017). Application of fuzzy logic and genetic algorithm in heart disease risk level prediction. International Journal of System Assurance Engineering and Management, 8(S2), 1109–1125.

Krishnaiah, V; Narsimha, G; Chandra, N. S. (2016). Heart Disease Prediction System using Data Mining Techniques and Intelligent Fuzzy Approach: A Review. International Journal of Computer Applications (0975 – 8887) Volume 136 – No.2.

Nilashi, M; Ahmadi, H; Manaf, A. A; Rashid, T. A; Samad, S; Shahmoradi, L; Aljojo, N; Akbari, E. (2020). Coronary Heart Disease Diagnosis Through Self-Organizing Map and Fuzzy Support Vector Machine with Incremental Updates. International Journal of Fuzzy Systems.

Paul, A. K; Shill, P. C; Rabin, M. R. I; Akhand, M. A. H. (2016). Genetic algorithm based fuzzy decision support system for the diagnosis of heart disease. 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV).






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