Zobrazeno 1 - 6
of 6
pro vyhledávání: '"James M Zech"'
Autor:
James M Zech, Morgan Johnson, Michael D Pullmann, Thomas D Hull, Tim Althoff, Sean A Munson, Nicole Fridling, Boris Litvin, Jerilyn Wu, Patricia A Areán
Publikováno v:
JMIR Formative Research, Vol 7, p e41428 (2023)
BackgroundDigital mental health interventions, such as 2-way and asynchronous messaging therapy, are a growing part of the mental health care treatment ecosystem, yet little is known about how users engage with these interventions over the course of
Externí odkaz:
https://doaj.org/article/4bd49665281c44bda37325c8898b5db4
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
BackgroundWhile message-based therapy has been shown to be effective in treating a range of mood disorders, it is critical to ensure that providers are meeting a consistently high standard of care over this medium. One recently developed measure of m
Externí odkaz:
https://doaj.org/article/9c3aab358b804ed8bda56eb86e4a612a
Publikováno v:
Cognitive Therapy and Research. 47:412-422
Autor:
Rory A. Pfund, Shelby A. King, David P. Forman, James M. Zech, Meredith K. Ginley, Samuel C. Peter, Nicholas W. McAfee, Katie Witkiewitz, James P. Whelan
Publikováno v:
Psychology of Addictive Behaviors.
Autor:
James M Zech, Morgan Johnson, Michael D Pullmann, Thomas D Hull, Tim Althoff, Sean A Munson, Nicole Fridling, Boris Litvin, Jerilyn Wu, Patricia A Areán
BACKGROUND Digital mental health interventions, such as 2-way and asynchronous messaging therapy, are a growing part of the mental health care treatment ecosystem, yet little is known about how users engage with these interventions over the course of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22d421ba5ae47d357766d9552da52e80
https://doi.org/10.2196/preprints.41428
https://doi.org/10.2196/preprints.41428
Publikováno v:
Translational Psychiatry, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack of objective outcomes and fidelity metrics. AI technologies and specifically Natural Language Processing (NLP) have emerged as tools to study menta
Externí odkaz:
https://doaj.org/article/2f20eefb204a4468bf2376e412dcc72f