Exploiting Recommender Systems in Collaborative Healthcare

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	D'AURIA Daniela GE Mouzhi PERSIA Fabio
Rok publikování	2019
Druh	Článek ve sborníku
Konference	Proceedings of the 16th International Symposium on Pervasive Systems, Algorithms and Networks
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
Doi	http://dx.doi.org/10.1007/978-3-030-30143-9_6
Klíčová slova	Collaborative healthcare; Medical auxiliaries; Recommender systems
Popis	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.