Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts

OBJECTIVE: Limited research exists in predicting first-time suicide attempts that account for two-thirds of suicide decedents. We aimed to predict first-time suicide attempts using a large data-driven approach that applies natural language processing (NLP) and machine learning (ML) to unstructured (...

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Detalles Bibliográficos
Autores principales: Tsui, Fuchiang R, Shi, Lingyun, Ruiz, Victor, Ryan, Neal D, Biernesser, Candice, Iyengar, Satish, Walsh, Colin G, Brent, David A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966858/
https://www.ncbi.nlm.nih.gov/pubmed/33758800
http://dx.doi.org/10.1093/jamiaopen/ooab011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966858/
https://www.ncbi.nlm.nih.gov/pubmed/33758800
http://dx.doi.org/10.1093/jamiaopen/ooab011

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