Prediction of Disease by Symptoms Using Machine Learning

Abstract

Machine Learning and data mining, both play the most popular role in analyzing and prediction in the field of health organization. It also helps to uncover different and new patterns in medicinal science. This project is around prediction of disease with help of the symptoms. This project aims to propose a model which will be strongly trained in detecting common diseases so that few of the common diseases can be easily tackled. In the back it is using data mining and classification in detail. In this project many algorithms like Random Forest, Naive Bayes, Logistic Regression, and many more can be utilized for health care diagnosis. Then at last, the score table will be designed and classifier with highest score will be picked.