HDP: Heart Disease Prediction Tool using Neural Network

Heart disease may strike everyone and endangering individuals of all gender, age or weight. Malaysia Ministry of Health (MOH) in 2017 has revealed that one in two Malaysians suffers from high cholesterol, which contributes to heart disease. As the principal cause of death with 13.2% in 2016, heart diseases seem to be worst from time to time. There should be a proper initiative to help in preventing this disease. Healthcare industry has a big amount of data collection but unfortunately, they are not mined properly to extract hidden pattern and relationship. Plus, Malaysians sometimes are too busy to keep up their regular checkup to ensure their health. Some might be short in time and some might be short in finance as the cost of clinical test might be burdening. There might also happen so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. Healthcare domain needs data mining technique to improve the efficiency of analytical methodology to detect and value the relationship within the health profile intelligently, in cheapest, fastest and safest way. In realizing this situation, we propose a system that uses a neural network techniqueto map a set of input data onto a set of appropriate output data. The technique helps to generate highly accurate prediction result based on the relationships within some medical factors using only a system that can be access anywhere without having to go the hospital and spending money