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

Formative Evaluation of Digital Health Interventions (2794) Mobile Health (mhealth) (3140) mHealth for Wellness, Behavior Change and Prevention (3086) Wearable Devices and Sensors (985) Parenting (284) Prevention and Health Promotion (1124) Loneliness and Social Isolation (122)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47950, first published .
Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study

Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study

Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study

Authors of this article:

Fatemeh Sarhaddi1 Author Orcid Image ;   Iman Azimi2, 3 Author Orcid Image ;   Hannakaisa Niela-Vilen4 Author Orcid Image ;   Anna Axelin4, 5, 6 Author Orcid Image ;   Pasi Liljeberg1 Author Orcid Image ;   Amir M Rahmani2, 3, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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  1. Hurwitz E, Butzin-Dozier Z, Master H, O'Neil S, Walden A, Holko M, Patel R, Haendel M. Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study. JMIR mHealth and uHealth 2024;12:e54622 View
  2. Feli M, Azimi I, Sarhaddi F, Sharifi-Heris Z, Niela-Vilen H, Liljeberg P, Axelin A, Rahmani A. Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life. Scientific Reports 2024;14(1) View

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  1. Meenorngwar C, Nithikathkul C. 2023 11th International Conference on Cyber and IT Service Management (CITSM). Predicting Loneliness using SVM, Logistic Regression and Decision Tree in Thailand View