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

Ubiquitous Health (uHealth) (91) Internet of Things (50) Sensors at Home and Domotics (42) Machine Learning (802) Behavioural Surveillance for Public Health (99) Innovative Methods in Public Health and Surveillance (201) Sleep Monitoring, Sleep Quality, Sleep Disorders (97)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21209, first published .
Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Authors of this article:

Niloofar Jalali 1 Author Orcid Image ;   Kirti Sundar Sahu 1 Author Orcid Image ;   Arlene Oetomo 1 Author Orcid Image ;   Plinio Pelegrini Morita 1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Koyama T, Sato S, Toriumi M, Watanabe T, Nimura A, Okawa A, Sugiura Y, Fujita K. A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study. JMIR mHealth and uHealth 2021;9(3):e26320 View