MULTI DISEASE PREDICTION SYSTEM

Human disease prediction systems are becoming increasingly important for early diagnosis and treatment ofdiseases. The majority of the existence machine learning models of the health care evaluation are focusing ononly single disease at the time of analysis. One is like an evaluation of diabetes, one of cancer and another ofskin diseases. No such system exists that lets a single evaluation to make multiple disease predictions. Morethan one analysis can be predicted in our diagnosis system. The system learns through a set of 133 symptomsand 41 diseases. A heatmap describing the relationship between symptoms is calculated, and diseases arepredicted by a random forest classifier,svm,naive bayes classifier in respect to symptoms. There is 99 percentaccuracy of the system in the training set. These are some of the applications of the system which includeassisting doctors, patient education and aid in coming up with diagnostic tools. A system is a useful product inearly detection of diseases and it can enhance the standards of healthcare of millions of individuals.