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

New Methods (901) Clinical Informatics (904) Occupational Health and Ergonomics/Prevention at the Workplace (220) Artificial Intelligence (1186) mHealth for Data Collection and Research (907) Machine Learning (1370) Mobile Health (mhealth) (2748)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48834, first published .
Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study

Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study

Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study

Authors of this article:

Hung-Hsun Chen1, 2 Author Orcid Image ;   Henry Horng-Shing Lu3, 4 Author Orcid Image ;   Wei-Hung Weng5 Author Orcid Image ;   Yu-Hsuan Lin6, 7, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Chen H, Lin C, Chang H, Chang J, Chuang H, Lin Y. Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities. Journal of Medical Internet Research 2024;26:e56144 View