Better Healthcare using Machine Learning
Data mining acts as a solution for many healthcare problems and it is helpful in predicting heart disease in early stages and Naive Bayes algorithm is one such data mining technique which helps in the prediction of heart diseaseIn patients.
Abstract
Today’s world is more conscious about the health. Even though the medical field is evolving with the improved facilities, the death rate is increasing day by day. Heart disease is one such cause for increasing death rate. Medical industry contains large amount of hidden information of many patients. This hidden information can be used to take important decisions by applying data mining techniques. Data mining acts as a solution for many healthcare problems and it is helpful in predicting heart disease in early stages. Naive Bayes algorithm is one such data mining technique which helps in the prediction of heart disease in patients. Cleveland dataset is used to analyze few parameters of the patients from the previous records such as age, chest pain, sex, blood pressure, ECG reading etc. A machine learning model which helps in predicting the heart disease is built.