Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample.

Saved in:
Bibliographic Details
Title: Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample.
Authors: Cohen A; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA., Naslund J; Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA., Lane E; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA., Bhan A; Sangath, Bhopal, India., Rozatkar A; Department of Psychiatry, AIIMS Bhopal, All India Institute of Medical Sciences Bhopal, Bhopal, India., Mehta UM; Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India.; National Institute of Advanced Studies, Bangalore, India., Vaidyam A; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA., Byun AJS; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA., Barnett I; Department of Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA., Torous J; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Source: Acta psychiatrica Scandinavica [Acta Psychiatr Scand] 2025 Mar; Vol. 151 (3), pp. 388-400. Date of Electronic Publication: 2024 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 0370364 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-0447 (Electronic) Linking ISSN: 0001690X NLM ISO Abbreviation: Acta Psychiatr Scand Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1600-0447
DOI:10.1111/acps.13712