A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records

• Akshaya V. Annapragada,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States of America

  https://orcid.org/0000-0002-9097-6511

  ⨯
• Marcella M. Donaruma-Kwoh,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing

  Affiliation Pediatrics—Public Health, Baylor College of Medicine, Houston, TX, United States of America

  ⨯
• Ananth V. Annapragada,

  Roles Formal analysis, Funding acquisition, Methodology, Resources, Writing – original draft, Writing – review & editing

  Affiliations The Singleton Department of Pediatric Radiology, Texas Children’s Hospital, Houston, TX, United States of America, Department of Radiology, Baylor College of Medicine, Houston, TX, United States of America

  ⨯
• Zbigniew A. Starosolski

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: zastaros@texaschildrens.org

  Affiliations The Singleton Department of Pediatric Radiology, Texas Children’s Hospital, Houston, TX, United States of America, Department of Radiology, Baylor College of Medicine, Houston, TX, United States of America

  https://orcid.org/0000-0003-4295-4227

  ⨯