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

Formative Evaluation of Digital Health Interventions (3226) mHealth for Data Collection and Research (1195) e-Cardiology and Telemonitoring in Cardiology (220) Mobile Apps for Cardiology (189) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1730)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36972, first published .
Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

Authors of this article:

Ayse S Cakmak1 Author Orcid Image ;   Erick A Perez Alday2 Author Orcid Image ;   Samuel Densen3 Author Orcid Image ;   Gabriel Najarro4 Author Orcid Image ;   Pratik Rout5 Author Orcid Image ;   Christopher J Rozell1 Author Orcid Image ;   Omer T Inan1 Author Orcid Image ;   Amit J Shah5, 6 Author Orcid Image ;   Gari D Clifford2, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Herkert C, van Leunen M, De Lathauwer I, van Es V, Tang J, Saeed A, Spee R, Lu Y, Kemps H. Noninvasive Multiparameter Monitoring for the Detection of Decompensated Heart Failure: Exploratory Study. JMIR Formative Research 2025;9:e59116 View

Books/Policy Documents

  1. Raju J, Pipal A. Innovative Computing and Communications. View