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Semantic Linkages of Obsessions From an International Obsessive-Compulsive Disorder Mobile App Data Set: Big Data Analytics Study

Autor: Jamie D Feusner, Reza Mohideen, Stephen Smith, Ilyas Patanam, Anil Vaitla, Christopher Lam, Michelle Massi, Alex Leow

Publikováno v: Journal of Medical Internet Research, Vol 23, Iss 6, p e25482 (2021)

BackgroundObsessive-compulsive disorder (OCD) is characterized by recurrent intrusive thoughts, urges, or images (obsessions) and repetitive physical or mental behaviors (compulsions). Previous factor analytic and clustering studies suggest the prese

Externí odkaz: https://doaj.org/article/a20a0b77fd354f509ba39a9d6429a8b7

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Semantic Linkages of Obsessions From an International Obsessive-Compulsive Disorder Mobile App Data Set: Big Data Analytics Study

Autor: Michelle Massi, Anil Vaitla, Alex D. Leow, Stephen Smith, Ilyas Patanam, Reza Mohideen, Jamie D. Feusner, Christopher Lam

Publikováno v: Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 23, Iss 6, p e25482 (2021)

Background Obsessive-compulsive disorder (OCD) is characterized by recurrent intrusive thoughts, urges, or images (obsessions) and repetitive physical or mental behaviors (compulsions). Previous factor analytic and clustering studies suggest the pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec724a5a1e09e87762f0c151a959b307
http://europepmc.org/articles/PMC8277342

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Semantic Linkages of Obsessions From an International Obsessive-Compulsive Disorder Mobile App Data Set: Big Data Analytics Study (Preprint)

Autor: Jamie D Feusner, Reza Mohideen, Stephen Smith, Ilyas Patanam, Anil Vaitla, Christopher Lam, Michelle Massi, Alex Leow

BACKGROUND Obsessive-compulsive disorder (OCD) is characterized by recurrent intrusive thoughts, urges, or images (obsessions) and repetitive physical or mental behaviors (compulsions). Previous factor analytic and clustering studies suggest the pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6fdaf16f0c817071a2675c0cb063fa80
https://doi.org/10.2196/preprints.25482

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