Heart Disease Prediction Using ML Algorithm

Abstract

Many patients don't get proper treatment due to a shortage of doctors. Thus, predicting a disease using the patient's symptoms has become an important task these days. To solve this there must be a predicting system for predicting diseases. In this chapter, a model is proposed for predicting the disease suffered by a person by knowing the symptoms. The model uses the logistic regression algorithm, which assigns observations to a discrete set of classes and provides a good level of accuracy. It collects the data of a person's symptoms and suggests a suitable disease accordingly. To showcase the accuracy of the proposed model, it has been implemented on a heart disease dataset to predict the occurrence of heart disease. The implementation will illustrate the effectiveness of the proposed model, which can help in the development of an intelligent healthcare system and reduce the cost of treatment.