Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis

Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis

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. ObjectiveWe designed a...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: JMIR Publications 2022-10-01
Series:JMIR Research Protocols
Online Access:https://www.researchprotocols.org/2022/10/e39613

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https://www.researchprotocols.org/2022/10/e39613

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