Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications.

Journal: Yearbook of medical informatics
Published Date: Aug 1, 2019

Abstract

OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify current state of the art and application areas of AI in the context of participatory health.

Authors

  • Kerstin Denecke
    Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.
  • Elia Gabarron
    Department of Education, ICT and Learning, Østfold University College, Norway.
  • Rebecca Grainger
    Department of Medicine, University of Otago Wellington, PO Box 7343, Newtown, Wellington, 6242, New Zealand. Rebecca.Grainger@otago.ac.nz.
  • Stathis Th Konstantinidis
    University of Nottingham, Nottingham, UK.
  • Annie Lau
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia.
  • Octavio Rivera-Romero
    Department of Electronic Technology, Universidad de Sevilla, Seville, Spain.
  • Talya Miron-Shatz
    Ono Academic College, Israel, and Winton Centre for Risk and Evidence Communication, Cambridge University, England.
  • Mark Merolli
    Swinburne University of Technology, and University of Melbourne, Australia.

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