A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder

Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mood states. However, deriving clinically meaningful...

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Detalles Bibliográficos
Autores principales: Perez Arribas, Imanol, Goodwin, Guy M., Geddes, John R., Lyons, Terry, Saunders, Kate E. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293318/
https://www.ncbi.nlm.nih.gov/pubmed/30546013
http://dx.doi.org/10.1038/s41398-018-0334-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293318/
https://www.ncbi.nlm.nih.gov/pubmed/30546013
http://dx.doi.org/10.1038/s41398-018-0334-0

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