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Diagnosis Heart Disease Using Mamdani Fuzzy Inference Expert System
- Source :
- EAI Endorsed Transactions on Scalable Information Systems, Vol 7, Iss 26 (2020)
- Publication Year :
- 2018
- Publisher :
- European Alliance for Innovation n.o., 2018.
-
Abstract
- The death ratio caused by heart diseases is threating around the world. Efficient and accurate diagnosis through information technology can turn over this picture. This article proposed Diagnosis Heart Disease using Mamdani Fuzzy Inference (DHD-MFI) based expert system which intelligently diagnoses heart disease. In an explorative pattern, the current research has taken six conducive variables for the purpose of fuzzy logic technical enhancement in the diagnosis of heart disease. The input fields comprise of age, chest pain, electrocardiography, blood pressure systolic, diabetic and cholesterol are transmitted with the help of Fuzzy rules which are framed in the light of low, normal, high and very high intensity among the input variations. The single output is obtained as a clinical decision support system for the heart diagnosis by using the Mamdani Inference method. The proposed DHD-MFI based expert system gives 94% overall accuracy.
- Subjects :
- Heart disease
Computer science
ecg
Inference
dhd-mfi
mamdani inference
computer.software_genre
Chest pain
Machine learning
Fuzzy logic
Clinical decision support system
bp
medicine
lcsh:Management information systems
Medical diagnosis
medicine.diagnostic_test
business.industry
medicine.disease
Expert system
cp
lcsh:T58.6-58.62
cad
Artificial intelligence
medicine.symptom
business
computer
Electrocardiography
Subjects
Details
- ISSN :
- 20329407
- Database :
- OpenAIRE
- Journal :
- ICST Transactions on Scalable Information Systems
- Accession number :
- edsair.doi.dedup.....4b4d0fc34e1a0a0be709abe9218a78d3