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

Viewpoints and Perspectives (519) Digital Biomarkers and Digital Phenotyping (196) New Methods (950) Machine Learning (1480) Wearable Devices and Sensors (895) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (838)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23984, first published .
HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning

Authors of this article:

Xuancong Wang1 Author Orcid Image ;   Nikola Vouk1 Author Orcid Image ;   Creighton Heaukulani1 Author Orcid Image ;   Thisum Buddhika1 Author Orcid Image ;   Wijaya Martanto1 Author Orcid Image ;   Jimmy Lee2, 3 Author Orcid Image ;   Robert JT Morris1, 4 Author Orcid Image
Article Authors Cited by (18) Tweetations (13) Metrics

Journals

  1. Chia A, Zhang M. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331 View
  2. Abdul Rashid N, Martanto W, Yang Z, Wang X, Heaukulani C, Vouk N, Buddhika T, Wei Y, Verma S, Tang C, Morris R, Lee J. Evaluating the utility of digital phenotyping to predict health outcomes in schizophrenia: protocol for the HOPE-S observational study. BMJ Open 2021;11(10):e046552 View
  3. Fonseka L, Woo B. Wearables in Schizophrenia: Update on Current and Future Clinical Applications. JMIR mHealth and uHealth 2022;10(4):e35600 View
  4. Sahandi Far M, Stolz M, Fischer J, Eickhoff S, Dukart J. JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease. Frontiers in Public Health 2021;9 View
  5. Prakash J, Chaudhury S, Chatterjee K. Digital phenotyping in psychiatry. Industrial Psychiatry Journal 2021;30(2):191 View
  6. De La Fabián R, Jiménez-Molina Á, Pizarro Obaid F. A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry. Big Data & Society 2023;10(1) View
  7. Haider B, O'Sullivan A, Bessonova L, Keane E, Achtyes E, Harvey P, Kane J, Saklad S, Trotter J, Claxton A, Polak T, McGrory J, Noori W, Sikora Kessler A, Yarlas A, Velligan D. Changes in Clinical Management of Patients with Schizophrenia Treated with Long-Acting Injectable Antipsychotics (LAIs), Including Telepsychiatry Use, During the COVID-19 Pandemic. Neuropsychiatric Disease and Treatment 2023;Volume 19:623 View
  8. Ikäheimonen A, Triana A, Luong N, Ziaei A, Rantaharju J, Darst R, Aledavood T. Niimpy: A toolbox for behavioral data analysis. SoftwareX 2023;23:101472 View
  9. Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
  10. Cho M, Park D, Choo M, Kim J, Han D. Development and Initial Evaluation of a Digital Phenotype Collection System for Adolescents: Proof-of-Concept Study. JMIR Formative Research 2024;8:e59623 View

Books/Policy Documents

  1. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View
  2. Khanshan A, Van Gorp P, Markopoulos P. Pervasive Computing Technologies for Healthcare. View
  3. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View