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

Non-randomized Protocols and Methods (ehealth) (540) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459) Innovations and Technology for Physical Activity Education (702) Evaluation and Research Methodology for mHealth (194) Fitness Trackers and Smart Pedometers/Accelerometers (541) Security and Privacy of mHealth and uHealth (116) Wearable Devices and Sensors (818)

Published on in Vol 9, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16471, first published .
Developing Effective Methods for Electronic Health Personalization: Protocol for Health Telescope, a Prospective Interventional Study

Developing Effective Methods for Electronic Health Personalization: Protocol for Health Telescope, a Prospective Interventional Study

Developing Effective Methods for Electronic Health Personalization: Protocol for Health Telescope, a Prospective Interventional Study

Authors of this article:

Bastiaan Johannes Paulus Cornelis Willemse1, 2 Author Orcid Image ;   Maurits Clemens Kaptein1, 2 Author Orcid Image ;   Fleur Hasaart3 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Hors-Fraile S, Candel M, Schneider F, Malwade S, Nunez-Benjumea F, Syed-Abdul S, Fernandez-Luque L, de Vries H. Applying Collective Intelligence in Health Recommender Systems for Smoking Cessation: A Comparison Trial. Electronics 2022;11(8):1219 View

Books/Policy Documents

  1. Willemse B, Kaptein M, Batalas N, Hasaart F. Wireless Mobile Communication and Healthcare. View