Evidence-based Medical Recommender Systems: A Review

Recommender Systems are effective methods that have been developed successfully in e-commerce to provide personal recommendations based on user’s previous preferences. A recommender system assists users in a decision-making process to suggest interesting items from overwhelming flood of data available in the system. Suitably adapting the technology, recommender systems for medical purposes have been presented in some researches, which are applied in medical care or diagnosis called Medical Recommender Systems. They are intelligent methods that originally contain the medical knowledge from both historical data and example cases, as well as utilized for Telemedicine. Moreover, to maximize the effectiveness and quality of medical services, not only medical knowledge but also available external evidences named “Evidence-based Medicine” should be considered together. Therefore, this paper proposes Medical Recommender Systems combined with Evidence-based Medicine, which is called “Evidence-based Medical Recommender Systems”.