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Volume 4 | Issue 6 | Year 2013 | Article Id. IJETT-V4I6P190 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I6P190
Detection of Heart Diseases using Fuzzy Logic
Sanjeev Kumar , Gursimranjeet Kaur
Citation :
Sanjeev Kumar , Gursimranjeet Kaur, "Detection of Heart Diseases using Fuzzy Logic," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 6, pp. 2694-2699, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I6P190
Abstract
Nowadays the use of computer technology in the fields of medicine area diagnosis, treatment of illnesses and patient pursuit has highly increased The objective of this paper is to detect the heart diseases in the person by using Fuzzy Expert System. The designed system based on the Parvati Devi hospital, Ranjit Avenue and EMC hospital Amritsar and International Lab data base. The system consists of 6 input fields and two output field. Input fields are chest pain type, cholesterol, maximum heart rate, blood pressure, blo od sugar, old peak. The output field detects the presence of heart disease in the patient and precautions accordingly. It is integer valued from 0 (no presence) to 1 (distinguish presence (values 0.1 to 1.0). We can use the Mamdani inference method. The re sults obtained from designed system are compared with the data in upon database and observed results of designed system are correct in 92%.
Keywords
FIS, Membership function, Rule base and Surface viewer
References
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