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

Commentary (12) Mobile Health (mhealth) (2939) Data Science (270) Ethics, Privacy, and Legal Issues (479) E-Health Policy and Health Systems Innovation (230) Policy and Policy Proposals (121) Clinical Informatics (1022)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46700, first published .
mHealth Systems Need a Privacy-by-Design Approach: Commentary on “Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review”

mHealth Systems Need a Privacy-by-Design Approach: Commentary on “Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review”

mHealth Systems Need a Privacy-by-Design Approach: Commentary on “Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review”

Authors of this article:

Ambuj Tewari1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Pelc M, Vilimkova Kahankova R, Blaszczyszyn M, Mikolajewski D, Konieczny M, Khoma V, Bara G, Zygarlicki J, Martinek R, Gupta M, Gorzelanczyk E, Pawłowski M, Czapiga B, Zygarlicka M, Kawala-Sterniuk A. Initial study on an expert system for spine diseases screening using inertial measurement unit. Scientific Reports 2023;13(1) View
  2. Giuffrè M, Shung D. Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. npj Digital Medicine 2023;6(1) View

Books/Policy Documents

  1. Herwanto G, Putri D, Ningtyas A, Fuad A, Quirchmayr G, Tjoa A. Innovations for Community Services. View