A PERSONALIZED RECOMMENDATION ENGINE FOR PREDICTION OF DISORDERS USING BIG DATA ANALYTICS

Recommender systems has become an important research field since 1990' s and its applications includes several domains. The application of recommendations in health care is a very wide area which recommends the patients about their health. Upon vast amount of data prevailing in health care sector, these data can be processed using big data tools to deliver a meaningful prediction to the patients. The predictions and recommendations will be more accurate since we are dealing with vast amount of data. Moreover it alerts the user from the occurrence of disease and takes necessary actions before it occurs. Thus recommender system along with big data will be promising solution that is prevailing in healthcare sector. The sum total of data related to the patient and their well-being constitutes the "Big Data" problem in the healthcare industry.