Artificial Intelligence Algorithms and Natural Language Processing for the Recognition of Syncope Patients on Emergency Department Medical Records

Background: Enrollment of large cohorts of syncope patients from administrative data is crucial for proper risk stratification but is limited by the enormous amount of time required for manual revision of medical records. Aim: To develop a Natural Language Processing (NLP) algorithm to automatically...

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Detalles Bibliográficos
Autores principales: Dipaola, Franca, Gatti, Mauro, Pacetti, Veronica, Bottaccioli, Anna Giulia, Shiffer, Dana, Minonzio, Maura, Menè, Roberto, Giaj Levra, Alessandro, Solbiati, Monica, Costantino, Giorgio, Anastasio, Marco, Sini, Elena, Barbic, Franca, Brunetta, Enrico, Furlan, Raffaello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832155/
https://www.ncbi.nlm.nih.gov/pubmed/31614982
http://dx.doi.org/10.3390/jcm8101677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832155/
https://www.ncbi.nlm.nih.gov/pubmed/31614982
http://dx.doi.org/10.3390/jcm8101677

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