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

Digital Biomarkers and Digital Phenotyping (150) Data Science (150) New Methods (752) Machine Learning (1122) Ecological Momentary Assessment (EMA) (265) mHealth for Data Collection and Research (746)

Published on in Vol 8 , No 9 (2020) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17818, first published .
Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

Authors of this article:

Madeena Sultana 1, 2 Author Orcid Image ;   Majed Al-Jefri 1, 3 Author Orcid Image ;   Joon Lee 1, 2, 4 Author Orcid Image
Article Authors Cited by (17) Tweetations (15) Metrics

Madeena Sultana   1, 2 * , PhD ;   Majed Al-Jefri   1, 3 * , PhD ;   Joon Lee   1, 2, 4 , PhD

1 Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

2 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

3 Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

4 Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

*these authors contributed equally

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