Medical Applications on Fuzzy Logic Inference System: A Review

Autor:	Jatinder Singh Bal, Sunny Thukral
Rok vydání:	2019
Předmět:	Adaptive neuro fuzzy inference system Computer science business.industry Disease Machine learning computer.software_genre Fuzzy logic Backpropagation System a Field (computer science) Fuzzy logic inference Artificial intelligence business computer
Zdroj:	International Journal of Advanced Networking and Applications. 10:3944-3950
ISSN:	0975-0282 0975-0290
DOI:	10.35444/ijana.2019.10046
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b7f3339e4fd6b4331680bf02aeeab32 https://doi.org/10.35444/ijana.2019.10046 Zobrazit plný text záznamu