• S. Durga Devi

It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. The Health Prediction system is an end user support and online consultation project. Here I propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease/illness associated with those symptoms. The system allows user to share their symptoms and issues. It then processes users symptoms to check for various illness that could be associated with it. Here the prediction model of heart disease is implemented using two machine learning techniques one is Linear Regression and another one is Neural Network. Linear Regression is used to determine critical factors that influence on heart diseases and Neural network model is used to predict of heart diseases. If the system is not able to provide suitable results, it informs the user about the type of disease or disorder it feels user’s symptoms are associated with. It also consists of doctor address, contacts along with Feedback and administrator dashboard for system operations.

Linear Regression, Machine Learning, Neural Network.

"Prediction of Heart Disease using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.287-291, July-2018, Available :http://www.jetir.org/papers/JETIR1807048.pdf

"Prediction of Heart Disease using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp287-291, July-2018, Available at : http://www.jetir.org/papers/JETIR1807048.pdf