Diagnose System for Heart Risk with Fuzzy Controller
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2016 by IJCOT Journal | ||
| Volume - 6 Issue - 1 |
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| Year of Publication : 2016 | ||
| Authors : Neeru Pathania, Ritika, Sanjeev | ||
| DOI : 10.14445/22492593/IJCOT-V31P301 |
Citation
Neeru Pathania, Ritika, Sanjeev"Diagnose System for Heart Risk with Fuzzy Controller", International Journal of Computer & organization Trends (IJCOT), V6(1):65-68 Jan - Feb 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract The diagnose system for any disease are greatly required nowadays. The use of information technology in diagnosis and treatment of illnesses has highly increased. The recognition of heart disease from symptoms features or signs are a multi layered problem. The knowledge and experience of specialists and clinical data of patients assist the diagnosis procedure. The automated prediction about the heart disease of patient made treatment easy. The intelligent and effective heart attack prediction system using fuzzy inference system is designed in this paper. The main factors or symptoms of heart attack are discussed.
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Keywords
Fuzzy, Heart predictions, FIS.