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

Machine Learning (1816) Clinical Informatics (1190) Natural Language Processing (829)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17787, first published .
Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

Authors of this article:

Yen-Pin Chen1, 2, 3 Author Orcid Image ;   Yi-Ying Chen3 Author Orcid Image ;   Jr-Jiun Lin3 Author Orcid Image ;   Chien-Hua Huang3, 4 Author Orcid Image ;   Feipei Lai1, 5, 6 Author Orcid Image
Article Authors Cited by (25) Tweetations (2) Metrics

Journals

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  5. Chen J, Baxter S. Applications of natural language processing in ophthalmology: present and future. Frontiers in Medicine 2022;9 View
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  12. Kim S, Shin W, Kim H. Unravelling long-stay tourist experiences and satisfaction: text mining and deep learning approaches. Current Issues in Tourism 2025;28(3):492 View
  13. Lyu D, Wang X, Chen Y, Wang F. Language model and its interpretability in biomedicine: A scoping review. iScience 2024;27(4):109334 View
  14. Preiksaitis C, Ashenburg N, Bunney G, Chu A, Kabeer R, Riley F, Ribeira R, Rose C. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. JMIR Medical Informatics 2024;12:e53787 View
  15. Huo D, Wang X. A new era in healthcare: The integration of artificial intelligence and microbial. Medicine in Novel Technology and Devices 2024;23:100319 View
  16. Adhikary P, Srivastava A, Kumar S, Singh S, Manuja P, Gopinath J, Krishnan V, Gupta S, Deb K, Chakraborty T. Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study. JMIR Mental Health 2024;11:e57306 View
  17. Cho H, Jun T, Kim Y, Kang H, Ahn I, Gwon H, Kim Y, Seo J, Choi H, Kim M, Han J, Kee G, Park S, Ko S. Task-Specific Transformer-Based Language Models in Health Care: Scoping Review. JMIR Medical Informatics 2024;12:e49724 View
  18. AbdelAziz N, Ali A, Naguib S, Fayed L. Clustering-based topic modeling for biomedical documents extractive text summarization. The Journal of Supercomputing 2025;81(1) View
  19. He K, Mao R, Lin Q, Ruan Y, Lan X, Feng M, Cambria E. A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Information Fusion 2025;118:102963 View
  20. He Y, Huang F, Jiang X, Nie Y, Wang M, Wang J, Chen H. Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions. IEEE Reviews in Biomedical Engineering 2025;18:172 View
  21. Bednarczyk L, Reichenpfader D, Gaudet-Blavignac C, Ette A, Zaghir J, Zheng Y, Bensahla A, Bjelogrlic M, Lovis C. Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review. Journal of Medical Internet Research 2025;27:e68998 View
  22. Gardazi N, Daud A, Malik M, Bukhari A, Alsahfi T, Alshemaimri B. BERT applications in natural language processing: a review. Artificial Intelligence Review 2025;58(6) View
  23. Mohamed A, AlAleeli R, Shaalan K. Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records. Computers 2025;14(4):148 View

Books/Policy Documents

  1. Voloch N, Gudes E, Gal-Oz N, Mitrany R, Shani O, Shoel M. Cyber Security, Cryptology, and Machine Learning. View

Conference Proceedings

  1. Srivastava A, Suresh T, Lord S, Akhtar M, Chakraborty T. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering View