Publication details

Exploiting Recommender Systems in Collaborative Healthcare


D'AURIA Daniela GE Mouzhi PERSIA Fabio

Year of publication 2019
Type Article in Proceedings
Conference Proceedings of the 16th International Symposium on Pervasive Systems, Algorithms and Networks
MU Faculty or unit

Faculty of Informatics

Keywords Collaborative healthcare; Medical auxiliaries; Recommender systems
Description With the development of new medical auxiliaries such as virtual reality and surgery robotics, recommender systems are emerged to interact with the medical auxiliaries and support doctor’s decisions and operations, especially in collaborative healthcare, recommender systems can interactively take into account the preferences and concerns from both patients and doctors. However, how to apply and integrate recommender systems is still not clear in collaborative healthcare. Therefore, from practical perspective this paper investigates the application of recommender systems in three typical collaborative healthcare domains, which are augmented/virtual reality, medicine and surgery robotics. The results not only provide the insights of how to integrate recommender systems with healthcare auxiliaries but also discuss the practical guidance of how to design recommender systems in collaborative healthcare.