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

Non-randomized Protocols and Methods (ehealth) (575) Mobile Health (mhealth) (3002) Methods and Feasibility Studies (384) Wearable Devices and Sensors (914) New Methods (971) mHealth for Data Collection and Research (992) Innovations and Technology in Cancer Care (433) Digital Biomarkers and Digital Phenotyping (200)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49096, first published .
Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study

Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study

Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study

Authors of this article:

Gabrielė Jenciūtė1 Author Orcid Image ;   Gabrielė Kasputytė1 Author Orcid Image ;   Inesa Bunevičienė2 Author Orcid Image ;   Erika Korobeinikova3 Author Orcid Image ;   Domas Vaitiekus3 Author Orcid Image ;   Arturas Inčiūra3 Author Orcid Image ;   Laimonas Jaruševičius3 Author Orcid Image ;   Romas Bunevičius4 Author Orcid Image ;   Ričardas Krikštolaitis1 Author Orcid Image ;   Tomas Krilavičius1 Author Orcid Image ;   Elona Juozaitytė3 Author Orcid Image ;   Adomas Bunevičius5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Odom J, Lee K, Currie E, Allen-Watts K, Harrell E, Bechthold A, Engler S, Curry K, Kamal A, Ritchie C, Demiris G, Wright A, Bakitas M, Azuero A. Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer. JCO Clinical Cancer Informatics 2025;(9) View