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Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44467, first published .
Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach

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

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

Journals

  1. Zhang Z, Huang Y, Liu G, Yu W, Xie Q, Chen Z, Huang G, Wei J, Zhang H, Chen D, Du H. Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma. Scientific Reports 2024;14(1) View
  2. Lorenzoni G, Gregori D, Bressan S, Ocagli H, Azzolina D, Da Dalt L, Berchialla P. Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data. JAMA Network Open 2024;7(5):e2413208 View
  3. Singh D, Celik A, Zhang E, Liu E, Rosenfield D. AI-Driven Injury Reporting in Pediatric Emergency Departments. JAMA Network Open 2025;8(7):e2524154 View
  4. Kumar A, Senapati A, Upadhyay R, Chatterjee S, Bhattacherjee A, Samanta B. An uncertainty-aware decision support system: Integrating text narratives and conformal prediction for trustworthy accident code classification. Process Safety and Environmental Protection 2025;204:108134 View
  5. Costa M, Khan M, Vedovelli L, Gregori D, Azzolina D, Bressan S. AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records. BMC Emergency Medicine 2026 View

Conference Proceedings

  1. Setiyo Waloyo L, Agung Wibowo M, Sanjaya R. 2025 1st International Conference on Emerging Trends in Information Systems and Informatics (ICETISI). Bibliometric Landscape of Text and Document Classification Research in Natural Language Processing View