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

Design and Usability of Clinical Software and EHRs (242) Machine Learning (1400) Clinical Information and Decision Making (1339) Security and Privacy of mHealth and uHealth (116) Tools, Programs and Algorithms (245) Ethics, Privacy, and Legal Issues (458) eHealth Infrastructures (310) Focus Groups and Qualitative Research for Human Factors Research (781) Secondary Use of Clinical Data for Research and Surveillance (325) Big Data (220)

Published on in Vol 8, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21810, first published .
Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives

Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives

Machine Learning–Based Analysis of Encrypted Medical Data in the Cloud: Qualitative Study of Expert Stakeholders’ Perspectives

Authors of this article:

Ala Sarah Alaqra1 Author Orcid Image ;   Bridget Kane2 Author Orcid Image ;   Simone Fischer-Hübner3 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Ala Sarah Alaqra   1 , BSc, MSc, Lic, PhD ;   Bridget Kane   2 , CSci, CMIAC, MSc Mgmt, MSc, PhD ;   Simone Fischer-Hübner   3 , MSc, PhD, Habil

1 Computer Science and Information Systems, Karlstad University, Karlstad, Sweden

2 Information Systems, Karlstad University Business School, Karlstad, Sweden

3 Computer Science, Karlstad University, Karlstad, Sweden

Corresponding Author:

  • Ala Sarah Alaqra, BSc, MSc, Lic, PhD
  • Computer Science and Information Systems
  • Karlstad University
  • Universitetsgatan 2
  • Karlstad, 65188
  • Sweden
  • Phone: 46 054 700 2815
  • Fax: 46 054 700 2815
  • Email: as.alaqra@kau.se