Preliminary design of estimation heart disease by using machine learning ANN within one year

In this paper discussed the development of heart disease prediction using machine learning (in this case the Artificial Neural Network or ANN). There are 13 variables that can determine heart disease according to Miss Chaitrali paper. Prediction of a person´s heart disease one year ahead is performed by studying the model heart rate data. Data is taken by using tool such as smart mirror, smart mouse, smart phones and smart chair. Heart rate data were collected through the Internet and collected in a server. Learning in this system is performed for a period of one year to get enough data to make predictions. Predictive of future heart disease in one year can increase a person´s awareness of heart disease itself. The system is also expected to reduce the number of patients and the number of deaths from heart disease.