DISEASE PREDICTION HEALTHCARE RECOMMENDATION SYSTEM USING DATAMINING

Abstract

In today's era, it might have happened so many times that you or someone of yours needs doctors assistance
immediately, but they are not available to reach it on time due to some reason. The Smart Healthcare Recommendation
system is an end user support and online consultation project. Here we propose a system through an intelligent disease
system online. The system is fed with various symptoms and the disease/illness associated with those systems. The system
allows user to share their symptoms. It then processes users symptoms to check for various disease that could be
associated with it. Here we use some intelligent data mining techniques to guess the most accurate disease that allows
users to get instant guidance on their health issues that could be associated with patient’s symptoms. 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. If users symptoms do not exactly match any disease in our database, is shows the diseases user could
probably have judging by his/her symptoms. It also recommends medicines for disease predicted to the user depending
upon symptoms received .The system also provides details about medical stores surrounding current location of the user,
which may help user to get medicines as soon as possible in emergency.