Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study-Reference-Cited by-同舟云学术

Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study

Published:2024-12 Issue: Volume:11 Page:100105
ISSN:2666-1446
Container-title:Biomarkers in Neuropsychiatry
language:en
Short-container-title:Biomarkers in Neuropsychiatry

Author:

Langholm Carsten,Breitinger Scott,Gray Lucy,Goes Fernando,Walker Alex,Xiong Ashley,Stopel Cindy,Zandi Peter P.,Frye Mark A.,Torous John^ORCID

Funder

Mayo Foundation for Medical Education and Research

Mayo Clinic

Johns Hopkins University Press

Publisher

Elsevier BV

Reference26 articles.

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4. Mood prediction of patients with mood disorders by machine learning using passive digital phenotypes based on the circadian rhythm: prospective observational cohort study;Cho;J. Med. Internet Res.,2019

5. Cohen A., Naslund J.A., Chang S., Nagendra S., Bhan A., Rozatkar A., Thirthalli J., Bondre A., Tugnawat D., Reddy P.V., Dutt S. Relapse prediction in schizophrenia with smartphone digital phenotyping during COVID-19: a prospective, three-site, two-country, longitudinal study. Schizophrenia. 2023 Jan 27;9(1):6.