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Thukral, Sunny
- Medical Applications on Fuzzy Logic Inference System:A Review
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Authors
Affiliations
1 Department of CS & IT, DAV College, Amritsar-143001, IN
2 Sant Baba Bhag Singh University, Jalandhar-144030, IN
1 Department of CS & IT, DAV College, Amritsar-143001, IN
2 Sant Baba Bhag Singh University, Jalandhar-144030, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 4 (2019), Pagination: 3944-3950Abstract
Traditional approaches based on algorithms are not feasible for solving detection of diseases throughout the world. Fuzzy Logic becomes more and more popular for diagnosing diseases based on different parameters and methodologies. This paper represents the literature review of articles in fuzzy logic to deal with various medical applications for last decade (2008-2018)because of identified different methodologies developed in this time-period. On the basis of different fuzzy applications in medical field, this article focused on eight common medical issues like heart disease, asthma disease, liver disease, breast cancer, Parkinson disease, cholera, dental and diabetes disease. Based on these different medical applications, the basic objective is to explore and implement fuzzy logic in existing and different domains in future.Keywords
ANFIS, Back-Propagation, Fuzzy Logic, Perceptron, Neuro-Fuzzy System.Full Text
References
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