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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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Bibliographische Detailangaben
Veröffentlicht in:J Clin Med
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2019
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6832155/
https://ncbi.nlm.nih.gov/pubmed/31614982
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm8101677
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