Heart Disease Prediction using Data Mining

The healthcare industry collects huge amounts of healthcare abstracts which abominably are not “mined� to ascertain hidden advice for able accommodation making. Discovery of hidden patterns and relationships generally goes unexploited. Advanced abstracts mining techniques can advice antidote this situation. This analysis has developed a ancestor Intelligent Heart Disease Predication System (IHDPS) application abstracts mining techniques, namely, Accommodation Trees, Naive Bayes and Neural Network. Results appearance that anniversary address has its different backbone in acumen the objectives of the authentic mining goals. IHDPS can acknowledgment circuitous “what if� queries which acceptable accommodation abutment systems cannot. Using medical profiles such as age, sex, claret burden and claret amoroso it can adumbrate the likelihood of patients accepting an affection disease. It enables cogent knowledge, e.g. patterns, relationships amid medical factors accompanying to affection disease, to be established. IHDPS is Web-based, user-friendly, scalable, reliable and expandable. It is implemented on the .NET platform.