Disease Prediction Based on Symptoms By Using Decision Tree And Random Forest In Machine Learning

Abstract

The medical care space is one of the unmistakable examination fields in the ongoing situation with the fast improvement of innovation and information. Dealing with the colossal measure of information of the patients is troublesome. Taking care of this information through Big Data Analytics is simpler. There are a ton of methodology for the treatment of different infections across the world. AI is an arising approach that aides in expectation, determination of an illness. This venture portrays the expectation of illness in light of side effects utilizing AI. AI calculations, for example, Support Vector Machine, Decision Tree and Random Forest are utilized on the gave dataset and anticipate the sickness. Its execution is finished through the python programming language. The task exhibits the best calculation in light of their exactness. The exactness of a not entirely set in stone by the presentation on the given dataset.