Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nils Hentati Isacsson"'
Publikováno v:
Internet Interventions, Vol 38, Iss , Pp 100773- (2024)
Objective: Predicting who will not benefit enough from Internet-Based Cognitive Behavioral (ICBT) Therapy early on can assist in better allocation of limited mental health care resources. Repeated measures of symptoms during treatment is the stronges
Externí odkaz:
https://doaj.org/article/05c52c4188774955afb6f3c0ec40962e
Publikováno v:
Digital Health, Vol 10 (2024)
Objective This study proposes a way of increasing dataset sizes for machine learning tasks in Internet-based Cognitive Behavioral Therapy through pooling interventions. To this end, it (1) examines similarities in user behavior and symptom data among
Externí odkaz:
https://doaj.org/article/86b2f7d3776544a185621513c3a82f0d
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Providing comprehensive and continuous care for patients whose conditions have mental or behavioral components is a central challenge in primary care and an important part of improving universal health coverage. There is a great n
Externí odkaz:
https://doaj.org/article/993e1ab135c343c7b4b5407ad6c528fa
Autor:
John Wallert, Julia Boberg, Viktor Kaldo, David Mataix-Cols, Oskar Flygare, James J. Crowley, Matthew Halvorsen, Fehmi Ben Abdesslem, Magnus Boman, Evelyn Andersson, Nils Hentati Isacsson, Ekaterina Ivanova, Christian Rück
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18–75 years) diagnosed with mild-to-moder
Externí odkaz:
https://doaj.org/article/cb4aae8082df48b195f13d7e60706da2
Autor:
Simon Jangard, Nitya Jayaram‐Lindström, Nils Hentati Isacsson, Granville James Matheson, Pontus Plavén‐Sigray, Johan Franck, Jacqueline Borg, Lars Farde, Simon Cervenka
Publikováno v:
Addiction. 118:1053-1061
Objective While psychological treatments are effective, a significant portion of patients do not benefit enough. Early identification of those may allow for adaptive treatment strategies and improved outcomes. We aimed to evaluate the clinical useful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e508e0424f05732c3d4797a1fca7fcc
https://doi.org/10.21203/rs.3.rs-2751455/v1
https://doi.org/10.21203/rs.3.rs-2751455/v1
Autor:
Susanna Jernelöv, Kerstin Blom, Nils Hentati Isacsson, Pontus Bjurner, Ann Rosén, Martin Kraepelien, Erik Forsell, Viktor Kaldo
Publikováno v:
Cognitive Behaviour Therapy. 51:72-88
Insomnia is a common and chronic disorder, and cognitive behavioral therapy (CBT) is the recommended treatment. Very long-term follow-ups of CBT are very rare, and this study aimed to investigate if improvements were stable one and ten years after CB
Autor:
John Wallert, Julia Boberg, Viktor Kaldo, Bjorn Roelstraete, James Crowley, Matthew Halvorsen, Nils Hentati Isacsson, Patrick Sullivan, Olly Kravchenko, Manuel Mattheisen, Ekaterina Ivanova, Magnus Boman, Lorena Fernández de la Cruz, David Mataix-Cols, Christian Rück
Publikováno v:
European Neuropsychopharmacology. 63:e138-e139
Autor:
John Wallert, Julia Boberg, Viktor Kaldo, David Mataix-Cols, Oskar Flygare, James J. Crowley, Matthew Halvorsen, Fehmi Ben Abdesslem, Magnus Boman, Evelyn Andersson, Nils Hentati Isacsson, Ekaterina Ivanova, Christian Rück
Publikováno v:
Translational psychiatry. 12(1)
This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18–75 years) diagnosed with mild-to-moderate MDD a