Reasoning with Certainty Factor for Prediction of Diabetes Disease on Machine Learning Platform

M.M. Mastoli¹ , U.R. Pol² , Rahul D. Patil³

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.1 , pp.93-97, Feb-2020

Online published on Feb 28, 2020

Copyright © M.M. Mastoli, U.R. Pol, Rahul D. Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Diabetes Mellitus commonly called as diabetes, is one of the common and growing endocrine diseases. AI provides ability to prevent these type of disease at an early stage by predicting the symptoms using several methods. Two areas which may benefit from the application of Machine Learning techniques in the medical field are diagnosis and outcome prediction. Expert systems as a branch of AI can incorporate with machine learning tools, this technology can be used as a solve the problem where there is a shortage of physician in the field of healthcare. The researcher has designed and developed a machine learning model for predicting the diabetes and its types like expert systems. This present reasoning with certainty factor and considered when designed the knowledge base with the patient`s level of belief. The main purpose of this paper is to study certainty factor for prediction of diabetes disease for more accurate prediction and diagnosis of diseases and application of machine learning for heath care systems.

Key-Words / Index Term :
Artificial intelligence, Machine Learning Model,Certainty Factor, Expert System,Diabetes Mellitus

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