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

• Main Authors: Danila Azzolina (Author), Silvia Bressan (Author), Giulia Lorenzoni (Author), Giulia Andrea Baldan (Author), Patrizia Bartolotta (Author), Federico Scognamiglio (Author), Andrea Francavilla (Author), Corrado Lanera (Author), Liviana Da Dalt (Author), Dario Gregori (Author)
• Formato: Livro
• Publicado em: JMIR Publications, 2023-07-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

BackgroundUnintentional 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. Machine...