Disease Prediction Application Using Machine Learning

Abstract

Abstract: The health care systems collect data and reports from the hospitals or patient's database by machine learning and data processing techniques which is employed to predict the disease so as to create reports supported the results which used for various kinds of predictions for disease and which is that the leading explanation for the human's death since past years. Medical reports and data had been extracted from various databases to predict a number of the required diseases which are commonly found in people nowadays breast cancer, heart disease and diabetes disease and make their life more critical to measure. Nowadays technology advancement within the health care industry has been helping people to create their process easier by suggesting hospitals and doctors to travel to for his or her treatment, where to admit and which hospitals are the simplest for the treating the desired disease. we've implemented this sort of system in our application to form people’s life simpler by predicting the disease by inputting certain data from their reports which can give the result positive or negative supported the disease prediction they are going to be having a choice to get recommendation of best hospitals with best doctors nearby from the past users or guardians. Keywords: Machine learning, Logistic Regression, Random Forest, disease prediction Introduction.