Výsledky vyhledávání - "Bart Schrieken"

Akademický článek

Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation

Autor: Sytske Wiegersma, Maurice Hidajat, Bart Schrieken, Bernard Veldkamp, Miranda Olff

Publikováno v: JMIR Mental Health, Vol 9, Iss 4, p e21111 (2022)

BackgroundText mining and machine learning are increasingly used in mental health care practice and research, potentially saving time and effort in the diagnosis and monitoring of patients. Previous studies showed that mental disorders can be detecte

Externí odkaz: https://doaj.org/article/47412c1ff10843a4902315eda0a5c2dc

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Akademický článek

Identifying levels of general distress in first line mental health services: can GP- and eHealth clients’ scores be meaningfully compared?

Autor: Jan van Bebber, Johanna T. W. Wigman, Lex Wunderink, Jorge N. Tendeiro, Marieke Wichers, Janneke Broeksteeg, Bart Schrieken, Sjoerd Sytema, Berend Terluin, Rob R. Meijer

Publikováno v: BMC Psychiatry, Vol 17, Iss 1, Pp 1-9 (2017)

Abstract Background The Four-Dimensional Symptom Questionnaire (4DSQ) (Huisarts Wetenschap 39: 538–47, 1996) is a self-report questionnaire developed in the Netherlands to distinguish non-specific general distress from depression, anxiety, and soma

Externí odkaz: https://doaj.org/article/850d7bf9bbf54ac7bf8345b3fdd58652

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Akademický článek

The effectiveness of online cognitive behavioral treatment in routine clinical practice.

Autor: Jeroen Ruwaard, Alfred Lange, Bart Schrieken, Conor V Dolan, Paul Emmelkamp

Publikováno v: PLoS ONE, Vol 7, Iss 7, p e40089 (2012)

Randomized controlled trails have identified online cognitive behavioral therapy as an efficacious intervention in the management of common mental health disorders.To assess the effectiveness of online CBT for different mental disorders in routine cl

Externí odkaz: https://doaj.org/article/92a85c787de34b9fb96f160825ae7e9f

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Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation

Autor: Sytske Wiegersma, Maurice Hidajat, Bart Schrieken, Bernard Veldkamp, Miranda Olff

Publikováno v: JMIR mental health, 9(4):e21111. JMIR Publications
JMIR Mental Health, 9(4):e21111. JMIR Publications Inc.

Background Text mining and machine learning are increasingly used in mental health care practice and research, potentially saving time and effort in the diagnosis and monitoring of patients. Previous studies showed that mental disorders can be detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f53acdcaa0ec078ede0997e624c45107
https://pubmed.ncbi.nlm.nih.gov/35404261

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Improving Web-Based Treatment Intake for Multiple Mental and Substance Use Disorders by Text Mining and Machine Learning: Algorithm Development and Validation (Preprint)

Autor: Sytske Wiegersma, Maurice Hidajat, Bart Schrieken, Bernard Veldkamp, Miranda Olff

BACKGROUND Text mining and machine learning are increasingly used in mental health care practice and research, potentially saving time and effort in the diagnosis and monitoring of patients. Previous studies showed that mental disorders can be detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6980afe85d54186a75291830aa29d09
https://doi.org/10.2196/preprints.21111

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Identifying levels of general distress in first line mental health services

Autor: Berend Terluin, Bart Schrieken, Rob R. Meijer, Lex Wunderink, Jan van Bebber, Sjoerd Sytema, Marieke Wichers, Johanna T. W. Wigman, Jorge N. Tendeiro, Janneke Broeksteeg

Publikováno v: van Bebber, J, Wigman, J T W, Wunderink, L, Tendeiro, J N, Wichers, M, Broeksteeg, J, Schrieken, B, Sytema, S, Terluin, B & Meijer, R R 2017, ' Identifying levels of general distress in first line mental health services : can GP-and eHealth clients' scores be meaningfully compared? ', BMC Psychiatry, vol. 17, no. 1, pp. 382 . https://doi.org/10.1186/s12888-017-1552-3
BMC Psychiatry, 17(1). BioMed Central
BMC Psychiatry
BMC Psychiatry, 17(1):382. BMC
BMC Psychiatry, Vol 17, Iss 1, Pp 1-9 (2017)

Background The Four-Dimensional Symptom Questionnaire (4DSQ) (Huisarts Wetenschap 39: 538–47, 1996) is a self-report questionnaire developed in the Netherlands to distinguish non-specific general distress from depression, anxiety, and somatization.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a344b49d1f1db63b971fe8360adae607
https://doi.org/10.1186/s12888-017-1552-3

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Using a digital game for training desirable behavior in cogrnitive-behavioral therapy for burnout syndrome: a controlled study

Autor: Bart Schrieken, Eduard Sioe-Hao Tan, Thomas Zielhorst, Valentijn Visch, Daphne van den Brule, Alfred Lange, Marijke Melles, Helle Sinkbaek, Sam van Tienhoven

Publikováno v: Cyberpsychology, Behavior, and Social Networking, 18(2), 101-111. Mary Ann Liebert Inc.

Burnout is a globally increasing illness, and as a result, many forms of burnout therapy have arisen. The use ofdigital games can be psychotherapeutically effective because they can transform exercises that are by themselvesunattractive into intrinsi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02db0dbe2b763c8da7ee94b54bf1ddd7
https://hdl.handle.net/11245/1.435781

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Web-based therapist-assisted cognitive behavioral treatment of panic symptoms

Autor: Janneke Broeksteeg, Alfred Lange, Bart Schrieken, Jeroen Ruwaard, Paul M. G. Emmelkamp

Publikováno v: Journal of Anxiety Disorders, 24(4), 387-396. Elsevier
Journal of Anxiety Disorders, 24(4), 387-96. Elsevier Limited
Ruwaard, J, Broeksteeg, J, Schrieken, B, Emmelkamp, P & Lange, A 2010, ' Web-based therapist-assisted cognitive behavioral treatment of panic symptoms : a randomized controlled trial with a three-year follow-up ', Journal of Anxiety Disorders, vol. 24, no. 4, pp. 387-96 . https://doi.org/10.1016/j.janxdis.2010.01.010

BACKGROUND: Internet-delivered treatment may reduce barriers to care in those unwilling or unable to access traditional forms of treatment.OBJECTIVE: To assesses the efficacy of web-based therapist-assisted cognitive behavioral treatment (web-CBT) of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0602f412f33148b8c2ddc925022e574c
https://research.vu.nl/en/publications/b0894e28-7c40-4d7b-88f5-a12770baa730

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