A Personalized Framework for Health Care Recommendation

In this world, for any kind of information, people depend on internet. They use search engines like Google to search information over internet. The queries that are written on the web must be accurate which would give the relevant information related to user´s Health Care. But there is huge amount of information on the internet and so it´s difficult to get the relevant information easily. In case of searches on right food exercise, people usually have their own preferences. Also people who suffers from some medical conditions they are restricted to some foods and exercises so they are attracted towards other food and exercises. Also the civilization where people reside will have impact on the number of choices and varieties of food. So there is need for easy to use framework for food and exercise recommendation. We propose ontology based semantic framework Health Care recommendation system which will provide precise information based on users requirements and constraints. This framework will use semantic web technology to analyze user´s preferences and will build a nourished and health associated use´s profile and will use the profile to categorize the associated knowledge so that users can make delicious food and exercise inquiries. We will also use the Decision Tree algorithm for retrieving related information from the database.