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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (40) Clinical Informatics (2425) Clinical Information and Decision Making (3943) Natural Language Processing (1353) Decision Support for Health Professionals (2387) Electronic Health Records (1808) Machine Learning (3373)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38150, first published .
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An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

Authors of this article:

He Ayu Xu1 Author Orcid Image ;   Bernard Maccari2 Author Orcid Image ;   Hervé Guillain3 Author Orcid Image ;   Julien Herzen2 Author Orcid Image ;   Fabio Agri4, 5 Author Orcid Image ;   Jean Louis Raisaro1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

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  1. Landau M, Rosbrugh J, Rizzuto K, Mortell T, Schlosser A, Chaffin A. Revamping medical coding with AI: a systematic review of interdisciplinary applications and perspectives for plastic surgery. Artificial Intelligence Surgery 2025;5(1):24 View
  2. Demrozi F, Farmanbar M, Engan K. Multimodal AI (MMAI) for next-generation healthcare: data domains, algorithms, challenges, and future perspectives. Current Opinion in Biomedical Engineering 2026;37:100632 View
  3. Xu H, Maccari B, Guillain H, Herzen J, Agri F, Raisaro J. Correction: An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation. JMIR Medical Informatics 2026;14:e94047 View
  4. Paulino D, Netto A, Ris-Ala R, Rocha A, Paredes H. Large Language Models and Responsible AI in Clinical Decision Support Systems: A Systematic Literature Review. International Journal of Human–Computer Interaction 2026:1 View
  5. Azzeri A, Wan Musaludin W, Jaafar H, Hafidz N, Noor Aizuddin A. Factors Affecting the Accuracy of Clinical Coding in the Casemix System in a Teaching Hospital: Cross-Sectional Study. Interactive Journal of Medical Research 2026;15:e93769 View
  6. Khandekar A, Salloum T, Bhatia A, Lin C, Desai A, Shah A, Lavian J, Ghay P, Woodworth E, Ryan J, Basei P, Liebl B, Freitas P, Nahar B, Katz J, Suarez M, Parekh D. The application of artificial intelligence in medical billing: A systematic review. DIGITAL HEALTH 2026;12 View

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  1. Ivanov M. 2023 International Conference Automatics and Informatics (ICAI). Intelligent Triage: Integrating Artificial Intelligence, Queuing Theory and Game Theory for Automated Patient Prioritization in Infectious Disease Wards View
  2. E E, S L, S K. 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN). Mamba-GAT: A Hybrid Architecture for Efficient and Structure-Aware Medical Code Prediction View