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Formative Evaluation of Digital Health Interventions (2914) Artificial Intelligence (1834) Machine Learning (1821) Ontologies, Classifications, and Coding (282) Surgery, Trauma and Surgical Sciences (178)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67311, first published .
Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Validation Study

Authors of this article:

Jun Tang1 Author Orcid Image ;   Yang Li2, 3 Author Orcid Image ;   Keyu Luo4 Author Orcid Image ;   Jiangyuan Lai5 Author Orcid Image ;   Xiang Yin4 Author Orcid Image ;   Dongdong Wu1 Author Orcid Image
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