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

BackgroundWe 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 ca...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	BMJ mental health 2017-08, Vol.20 (3), p.83-87
Hauptverfasser:	Geraci, Joseph, Wilansky, Pamela, de Luca, Vincenzo, Roy, Anvesh, Kennedy, James L, Strauss, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Algorithms Automation Bipolar disorder Child & adolescent psychiatry Deep learning Depression - diagnosis Electronic Health Records Humans Machine Learning Mental depression Neural networks Original Young Adult
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!