Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records

OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the development and evaluation of a machine learning algori...

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Detalles Bibliográficos
Autores principales: Carson, Nicholas J., Mullin, Brian, Sanchez, Maria Jose, Lu, Frederick, Yang, Kelly, Menezes, Michelle, Cook, Benjamin Lê
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380543/
https://www.ncbi.nlm.nih.gov/pubmed/30779800
http://dx.doi.org/10.1371/journal.pone.0211116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380543/
https://www.ncbi.nlm.nih.gov/pubmed/30779800
http://dx.doi.org/10.1371/journal.pone.0211116

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