Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Christine Lykke Thoustrup"'
Autor:
Linea Pretzmann, Sofie Heidenheim Christensen, Anne Bryde Christensen, Camilla Funch Uhre, Valdemar Uhre, Christine Lykke Thoustrup, Iben Thiemer Clemmesen, Tin Aaen Gudmandsen, Nicoline Løcke Jepsen Korsbjerg, Anna-Rosa Cecilie Mora-Jensen, Melanie Ritter, Markus Harboe Olsen, Line Katrine Harder Clemmensen, Jane Lindschou, Christian Gluud, Per Hove Thomsen, Signe Vangkilde, Julie Hagstrøm, Alexander Rozental, Pia Jeppesen, Frank Verhulst, Katja Anna Hybel, Nicole Nadine Lønfeldt, Kerstin Jessica Plessen, Stig Poulsen, Anne Katrine Pagsberg
Publikováno v:
Contemporary Clinical Trials Communications, Vol 34, Iss , Pp 101173- (2023)
Background: Knowledge on adverse events in psychotherapy for youth with OCD is sparse. No official guidelines exist for defining or monitoring adverse events in psychotherapy. Recent recommendations call for more qualitative and quantitative assessme
Externí odkaz:
https://doaj.org/article/12bbd6cd13ca4342b422f7f6ec2441e6
Autor:
Line Katrine Harder Clemmensen, Nicole Nadine Lønfeldt, Sneha Das, Nicklas Leander Lund, Valdemar Funch Uhre, Anna-Rosa Cecilie Mora-Jensen, Linea Pretzmann, Camilla Funch Uhre, Melanie Ritter, Nicoline Løcke Jepsen Korsbjerg, Julie Hagstrøm, Christine Lykke Thoustrup, Iben Thiemer Clemmesen, Kersten Jessica Plessen, Anne Katrine Pagsberg
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 10, p e39613 (2022)
BackgroundArtificial intelligence tools have the potential to objectively identify youth in need of mental health care. Speech signals have shown promise as a source for predicting various psychiatric conditions and transdiagnostic symptoms. Objecti
Externí odkaz:
https://doaj.org/article/d88c7047066542b2b55b3acd586f8679
Autor:
Line K. H. Clemmensen, Nicole Lønfeldt, Sneha Das, Nicklas Leander Lund, Valdemar Uhre, A.R. Cecilie Mora-Jensen, Linea Pretzman, Camilla Funch Uhre, Melanie Ritter, Nicoline Løcke Jepsen Korsbjerg, Julie Hagstrøm, Christine Lykke Thoustrup, Iben Clemmensen, Kersten Jessica Plessen, Anne Pagsberg
UNSTRUCTURED Artificial intelligence (AI) tools have the potential to objectively identify youth in need of mental health care. Speech signals have demonstrated promise as a source for predicting various psychiatric conditions and transdiagnostic sym
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894abda1f073b37caf7f0f8c69889046
https://doi.org/10.2196/preprints.39613
https://doi.org/10.2196/preprints.39613
