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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...
Autores principales: | Azzolina, Danila, Bressan, Silvia, Lorenzoni, Giulia, Baldan, Giulia Andrea, Bartolotta, Patrizia, Scognamiglio, Federico, Francavilla, Andrea, Lanera, Corrado, Da Dalt, Liviana, Gregori, Dario |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
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 |
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