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Exploiting Recommender Systems in Collaborative Healthcare

  • Daniela D’Auria
  • Mouzhi GeEmail author
  • Fabio Persia
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1080)

Abstract

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.

Keywords

Recommender systems Medical auxiliaries Collaborative healthcare 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Computer ScienceFree University of Bozen-BolzanoBolzanoItaly
  2. 2.Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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