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

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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Bibliographic Details
Main Authors: Franca Dipaola, Mauro Gatti, Veronica Pacetti, Anna Giulia Bottaccioli, Dana Shiffer, Maura Minonzio, Roberto Menè, Alessandro Giaj Levra, Monica Solbiati, Giorgio Costantino, Marco Anastasio, Elena Sini, Franca Barbic, Enrico Brunetta, Raffaello Furlan
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Journal of Clinical Medicine
Subjects:
syncope
artificial intelligence
natural language processing
emergency department
electronic medical records
Online Access:https://www.mdpi.com/2077-0383/8/10/1677

Internet

https://www.mdpi.com/2077-0383/8/10/1677

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