• GAURI VINAYAK SONAWANE
• V.S.Narayana Tinnaluri

Analyze different parameters of patient .Heart disease and high blood pressure is deadly disease that large population of people around the world suffers from .When considering death rates and large number of people who suffers from heart disease. Traditional way of diagnosis is not sufficient for such an illness. Developing a medical diagnosis system based on machine learning for prediction of heart disease provides more accurate diagnosis than traditional way. A heart disease prediction system which uses artificial neural network backpropogation algorithm is proposed. various cinical features were used as input for the neural network and then the neural network was trained with backpropogation algorithm to predict absence or presence of heart disease with accuracy of 97%.also we will provide notification to the doctor, nurse and any medical staff on their handset

Heart disease, artificial neural network, Cleveland database, backpropogation algorithm, multilayer perceptron, machine learning.

"Biomedical Application of Predicting a Health of Patient ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.539-543, March-2019, Available :http://www.jetir.org/papers/JETIR1903I81.pdf

"Biomedical Application of Predicting a Health of Patient ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp539-543, March-2019, Available at : http://www.jetir.org/papers/JETIR1903I81.pdf