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.
What You Will Learn For This ?
After implementing the project you will learn predicting algorithm using popular Google Bard.By using linear regression and decision
tree we are predicting diseases like Diabetes, Malaria, Jaundice, Dengue, and Tuberculosis.