Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression

BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could accurately identify individuals who were suitable...

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Detalles Bibliográficos
Autores principales: Geraci, Joseph, Wilansky, Pamela, de Luca, Vincenzo, Roy, Anvesh, Kennedy, James L, Strauss, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566092/
https://www.ncbi.nlm.nih.gov/pubmed/28739578
http://dx.doi.org/10.1136/eb-2017-102688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566092/
https://www.ncbi.nlm.nih.gov/pubmed/28739578
http://dx.doi.org/10.1136/eb-2017-102688

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