359 Utilization of machine learning approaches on multimodal and ambulatory data to predict individualized symptom course in adults with obsessive-compulsive disorder.

OBJECTIVES/GOALS: This study will collect multimodal and longitudinal data in adults with obsessive-compulsive disorder and healthy controls. A mixed effects random forest machine learning approach will be taken to develop a model that can predict individualized longitudinal OCD symptom burden. METH...

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Detalles Bibliográficos
Autores principales: Frank, Adam C, Chang, Wellington, Li, Ruibei, Narayanan, Shrikanth, Peterson, Bradley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Precision Medicine/Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129731/
http://dx.doi.org/10.1017/cts.2023.399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129731/
http://dx.doi.org/10.1017/cts.2023.399

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