EARLY Heart Disease Prediction with Minimal Attributes using Machine Learning
Abstract
ABSTRACT- Heart Disease is one of major problem in our medical science and also in society. Largest-ever study on death shows that Heart Diseases have become Number one killer disease in the world. About 25 percent of deaths in the age group of 25 to 69 years occur due to heart diseases. In Our medical society all doctors are not equally skilled and experienced so every doctor has different opinion about Patients but still cases are reported of wrong diagnosis and treatment. There is need an intelligent system that predict about heart disease more accurately than doctors. In this paper we developed an intelligent Model using Neural Network that predict early Heart Disease base on minimum but major attributes of patient’s health with accuracy 90%. Finally, we got Impressive Results with small number of input variables of patients and the comparative study of the different Machine learning algorithms and tools.
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