Identifying patient-specific behaviors to understand illness trajectories and predict relapses in bipolar disorder using passive sensing and deep anomaly detection: protocol for a contactless cohort study

BACKGROUND: Predictive models for mental disorders or behaviors (e.g., suicide) have been successfully developed at the level of populations, yet current demographic and clinical variables are neither sensitive nor specific enough for making individual clinical predictions. Forecasting episodes of i...

Descripción completa

Detalles Bibliográficos
Autores principales: Ortiz, Abigail, Hintze, Arend, Burnett, Rachael, Gonzalez-Torres, Christina, Unger, Samantha, Yang, Dandan, Miao, Jingshan, Alda, Martin, Mulsant, Benoit H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026652/
https://www.ncbi.nlm.nih.gov/pubmed/35459150
http://dx.doi.org/10.1186/s12888-022-03923-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026652/
https://www.ncbi.nlm.nih.gov/pubmed/35459150
http://dx.doi.org/10.1186/s12888-022-03923-1

Ejemplares similares