• Dr. Ranjana Rajnish
• Dr. Meenakshi Srivatava

Abstract: In last few years, there has been increase in volume of data being produced. Also, lately researchers have shown interest in how this data can be used for better decision making and monitoring of health parameters. Electronic Health Records (EHR) are rich in information and contain heterogeneous data from various sources. This data can be used to provide better healthcare to patient suffering from chronic diseases which, in most of the cases, are detected at a very late stage, and then it becomes fatal in most of the cases. If these diseases can be predicted by a recommender system at an early stage, based on the parameters of clinical data, the patient can take precautions and start medication at an early stage. Machine learning forms the base of many information retrieval applications those effect our day to day lives directly or indirectly. Recommender systems are a classical example for machine learning applications, however, they have not yet been used extensively in health informatics and medical scenarios. In general, Recommender systems are information filtering system which takes users rating for items into account and predict user preferences. Many online ecommerce and other categorical websites are able to generate recommendations either on the basis of implicit feedback or explicit feedback. In implicit feedback, preferences are actually based on analysis of browsing patterns of the user, for example, purchase history, web logs etc. Explicit feedback is generated from the ratings provided by the user. In this paper we are exploring the concept of Machine Learning, Recommender Systems, Types of Recommender Systems, Review of Recommender Systems, Issues and Opportunities.

Keywords: Machine Learning, Recommender Systems, Types of Recommender Systems, Review of Recommender Systems

"Comprehensive Survey of Recommender Systems using Machine Learning Algorithm for early detection of Chronic Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.159-165, May-2019, Available :http://www.jetir.org/papers/JETIR1905N25.pdf

"Comprehensive Survey of Recommender Systems using Machine Learning Algorithm for early detection of Chronic Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp159-165, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N25.pdf