Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency department (ED) diagnoses are a useful source of information for injury epidemiological surveillance purposes. However, ED data collection systems often use free-text fields to report patient diagnoses. Machi...

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Detalles Bibliográficos
Autores principales: Azzolina, Danila, Bressan, Silvia, Lorenzoni, Giulia, Baldan, Giulia Andrea, Bartolotta, Patrizia, Scognamiglio, Federico, Francavilla, Andrea, Lanera, Corrado, Da Dalt, Liviana, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372563/
https://www.ncbi.nlm.nih.gov/pubmed/37436799
http://dx.doi.org/10.2196/44467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372563/
https://www.ncbi.nlm.nih.gov/pubmed/37436799
http://dx.doi.org/10.2196/44467

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