Predicting Heart Disease and Diabetes

The healthcare industry is no exception. Machine Learning can play an essential role in predicting presence/absence of Locomotors disorders, Heart diseases and diabetese and more. Such information, if predicted well in advance, can provide important insights to doctors who can then adapt their diagnosis and treatment per patient basis. And in addition, we also predicting the diabetes diseases the machine learning. Algorithms likeLogistic Regression, Random Forest, Support Vector Machine, Naïve Bayes and etc., are used to build a machine learning model. Here discusses and compares the various data analytics techniques available for the heart diseases and diabetese prediction. However, the selection of the appropriate algorithm from the pool of available algorithms imposes challenge to the researchers with respect to the chosen heart diseases and diabetese. The accuracy of training model should be higher and error rate should be minimum.