Prediction of Heart Disease Using ML Algorithms

There are a variety of approaches utilised in the processing of healthcare data. Data mining is utilised quite frequently. The majority of deaths are caused by cardiovascular disorders. It is a risk factor for heart disease. The proportions of risk factors for heart disease can be computed using this technique. Data sources can be categorised based on healthcare factors. Using a data mining classification approach, this system does analysis on such parameters. The datasets are analysed using the Decision Tree Algorithm and the Naive Bayes Algorithm, both of which are written in Python. The Decision Tree Algorithm has the highest precision for heart disease. Introduction