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

Data Science (315) Visualization in eHealth (63) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1808) Neurology and Neurosciences (235) Focus Groups and Qualitative Research for Human Factors Research (1075) Depression and Mood Disorders; Suicide Prevention (1542)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43954, first published .
Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

Authors of this article:

Sara Simblett1 Author Orcid Image ;   Erin Dawe-Lane1 Author Orcid Image ;   Gina Gilpin1 Author Orcid Image ;   Daniel Morris1 Author Orcid Image ;   Katie White1 Author Orcid Image ;   Sinan Erturk1 Author Orcid Image ;   Julie Devonshire2 Author Orcid Image ;   Simon Lees2 Author Orcid Image ;   Spyridon Zormpas2 Author Orcid Image ;   Ashley Polhemus3 Author Orcid Image ;   Gergely Temesi3 Author Orcid Image ;   Nicholas Cummins1 Author Orcid Image ;   Matthew Hotopf1, 4 Author Orcid Image ;   Til Wykes1, 4 Author Orcid Image ;   RADAR-CNS Consortium1
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Sama K, Sreevalsan-Nair J, Choudhary S, Nagendra S, Reddy P, Cohen A, Mehta U, Torous J. mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation. JMIR Formative Research 2025;9:e70073 View