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Fuzzy Inference Model for Computation and Prediction of Disease Pattern


M. Inbavalli, T. Balasubramanian and C. Anitha
Abstract

Medical domain research is significant to the society and human values. This reduces the guess works and improves decision making with the pattern generated from the history of patient information. The complexity of medical domain and manual analysis and extracting precise and accurate pattern of decision is a life-challenging task. Diagnosing with the maximum knowledge enriches the rapid and accurate decisions. Though human decision making is best, it is poor when there are huge amounts of data to be classified. In many cases the symptoms are more prone to many of the diseases. Predicting the level of infection is a most significant task for finding the accurate therapy and early prevention of human life. Fuzzy Logic (FL) consists of probabilistic logic, which infers the rule set for classifying the medical data with fractional values of accuracy.

Volume 12 | 04-Special Issue

Pages: 672-679

DOI: 10.5373/JARDCS/V12SP4/20201533