This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (83) Artificial Intelligence (1216) Ethics, Privacy, and Legal Issues (458) eHealth Infrastructures (310) Advanced Data Analytics in eHealth (112) Big Data (220) Electronic Health Records (971) Machine Learning (1401) Data Science (232)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19250, first published .
Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study

Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study

Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study

Authors of this article:

Prosper Kandabongee Yeng1 Author Orcid Image ;   Livinus Obiora Nweke1 Author Orcid Image ;   Bian Yang1 Author Orcid Image ;   Muhammad Ali Fauzi1 Author Orcid Image ;   Einar Arthur Snekkenes1 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Prosper Kandabongee Yeng   1 , MSc ;   Livinus Obiora Nweke   1 , MSc ;   Bian Yang   1 , PhD ;   Muhammad Ali Fauzi   1 , MSc ;   Einar Arthur Snekkenes   1 , PhD

1 Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjovik, Norway

Corresponding Author:

  • Prosper Kandabongee Yeng, MSc
  • Department of Information Security and Communication Technology
  • Norwegian University of Science and Technology
  • Teknologivegen 22
  • Gjovik, 2815
  • Norway
  • Phone: 47 61135400
  • Email: prosper.yeng@ntnu.no