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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (352) Psychological, Behavioral, Social, and/or Cultural Experiments and Interventions (100) Mobile Apps for Pregnancy and Parenting Education (74) Pregnancy Information, Education and Lifestyle Interventions (423) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (687) Mobile Health (mhealth) (3661)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67680, first published .
Mobile Health Adoption in High-Risk Pregnancies Using Cluster Analysis of Biopsychosocial Outcomes: Observational Longitudinal Cohort Study

Mobile Health Adoption in High-Risk Pregnancies Using Cluster Analysis of Biopsychosocial Outcomes: Observational Longitudinal Cohort Study

Mobile Health Adoption in High-Risk Pregnancies Using Cluster Analysis of Biopsychosocial Outcomes: Observational Longitudinal Cohort Study

Authors of this article:

Fernanda Schier de Fraga1 Author Orcid Image ;   Mayara Marenda Narita1 Author Orcid Image ;   Monique Schreiner1 Author Orcid Image ;   Flavio Belli1 Author Orcid Image ;   Jaqueline Leonel Celestino1 Author Orcid Image ;   Karolayne Braz Pereira1 Author Orcid Image ;   Gabriella Soecki1 Author Orcid Image ;   Vitória Bevervanso1 Author Orcid Image ;   Rogério de Fraga2 Author Orcid Image
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Journals

  1. Wu T, Han T, Zhang X, Dai Y, Meng X. A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2026;14:e72560 View