A Machine Learning Model for Early Prediction of Multiple Diseases to Cure Lives
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Abstract
Machine Learning Approach for Identifying Disease Prediction Using Machine Learning is based on prediction modelling that predicts disease of the patients according to the symptoms provided by the users as an i/p to the system. This paper gives an idea of predicting multiple diseases using Machine Learning algorithms. Here we will use the concept of supervised Machine Learning in which implementation will be done by applying Decision Tree, Random Forest, Naïve Bayes and KNN algorithms which will help in early prediction of diseases accurately and better patients care. The results ensured that the system would be functional and user oriented for patients for timely diagnoses of diseases in a patient.
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