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

Big Data Analytics for Elder Care (46) mHealth for Data Collection and Research (1286) mHealth for Wellness, Behavior Change and Prevention (3481) Machine Learning (2306) Physical Activity for Older People (312) Innovations and Technology for Physical Activity Education (986)

Published on in Vol 3, No 2 (2020): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18008, first published .
Smart city technology: icons for health, transport, and connectivity overlay a modern cityscape at dusk.

Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation

Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation

Authors of this article:

Sayeh Bayat1, 2 Author Orcid Image ;   Gary Naglie2, 3, 4, 5, 6 Author Orcid Image ;   Mark J Rapoport7, 8 Author Orcid Image ;   Elaine Stasiulis5, 9 Author Orcid Image ;   Belkacem Chikhaoui10 Author Orcid Image ;   Alex Mihailidis1, 2, 11 Author Orcid Image
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