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

Development and Evaluation of Research Methods, Instruments and Tools (1228) Ontologies, Classifications, and Coding (405) Formative Evaluation of Digital Health Interventions (4853)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32460, first published .
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Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study

Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study

Authors of this article:

Brian J Ferrell1 Author Orcid Image ;   Sarah E Raskin2 Author Orcid Image ;   Emily B Zimmerman3 Author Orcid Image ;   David H Timberline1 Author Orcid Image ;   Bridget T McInnes4 Author Orcid Image ;   Alex H Krist5 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Ferrell B. Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study. JMIR Formative Research 2023;7:e41137 View
  2. Ferrell B, Raskin S, Zimmerman E. Calibrating a Transformer-Based Model’s Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study. JMIR Formative Research 2023;7:e41516 View
  3. Chen Y, Jiang H. Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain. Journal of Environmental Management 2024;371:123320 View
  4. Nooruddin A, Lal A, Ahmed S, Ghori M, Adnan N, Umer F. Use of generative artificial intelligence models in healthcare – a scoping review. BMC Artificial Intelligence 2026;2(1) View

Books/Policy Documents

  1. Sayed M, Braşoveanu A, Nixon L, Scharl A. Advances in Computational Intelligence. View