A Machine Learning Model for Early Prediction ofiMultiple Diseases to Cure Lives

Abstract

Machine Learning Approach for Identifying Disease Prediction Using Machine Learning is based totally o n prediction modelling that predicts disorder of the sufferers according to the symptoms provided by using t he customers as an i/p to the system. This paper offers an idea ofipredicting more than one disease using Ma chine Learning algorithms. Here we will use the notion ofisupervised Machine Learning in which implemen tation will be executed by way of making use of Decision Tree, Random Forest, Naïve Bayes and KNN alg orithms which will assist in early prediction of illnesses accurately and better sufferers care. The consequen ces ensure that the machine would be practical and user oriented for sufferers for timely diagnosis ofidisease s in a patient. Indexi Terms - Machine Learning , Disease Prediction , K-Nearest Neighbour, Random Forest