Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time

BACKGROUND: Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and suicide has increased in recent years. However, these studies often vary considerably in length, ML methods used, and sources...

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Detalles Bibliográficos
Autores principales: Horwitz, Adam G., Kentopp, Shane D., Cleary, Jennifer, Ross, Katherine, Wu, Zhenke, Sen, Srijan, Czyz, Ewa K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060441/
https://www.ncbi.nlm.nih.gov/pubmed/36177889
http://dx.doi.org/10.1017/S0033291722003014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060441/
https://www.ncbi.nlm.nih.gov/pubmed/36177889
http://dx.doi.org/10.1017/S0033291722003014

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