Diseases Prediction Using Machine Learning For Health Care

Abstract

Disease Prediction using Machine Learning is
the system that is used to predict the diseases from the
symptoms which are given by the patients or any user. The
system processes the symptoms provided by the user as input
and gives the output as the probability of the disease. Naïve
Bayes classifier is used in the prediction of the disease which is
a supervised machine learning algorithm. The probability of the
disease is calculated by the Naïve Bayes algorithm. With an
increase in biomedical and healthcare data, accurate analysis
of medical data benefits early disease detection and patient
care. By using linear regression and decision tree we are
predicting diseases like Diabetes, Malaria, Jaundice, Dengue,
and Tuberculosis.