This paper is in the following e-collection/theme issue:

Pediatrics (126) Parenting (246)

Published on in Vol 5, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33614, first published .
Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model

Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model

Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model

Authors of this article:

Samantha Boch1, 2 Author Orcid Image ;   Syed-Amad Hussain3 Author Orcid Image ;   Sven Bambach3 Author Orcid Image ;   Cameron DeShetler4 Author Orcid Image ;   Deena Chisolm3, 5 Author Orcid Image ;   Simon Linwood6, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (12) Metrics

Journals

  1. Boch S, Sezgin E, Lin Linwood S. Ethical artificial intelligence in paediatrics. The Lancet Child & Adolescent Health 2022;6(12):833 View
  2. Huang T, Socrates V, Gilson A, Safranek C, Chi L, Wang E, Puglisi L, Brandt C, Taylor R, Wang K. Identifying incarceration status in the electronic health record using large language models in emergency department settings. Journal of Clinical and Translational Science 2024;8(1) View
  3. Boch S, Wildeman C, Dexheimer J, Kahn R, Lambert J, Beal S. Pediatric Health and System Impacts of Mass Incarceration, 2009–2020: A Matched Cohort Study. Academic Pediatrics 2024 View