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

Machine Learning (1501) Clinical Informatics (1050) Natural Language Processing (706)

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 (20) Tweetations (2) Metrics

Journals

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  10. Wang Y, Hu S, Yao J, Pan Y, Wang J, Wang H. Clinical nursing mentors’ motivation, attitude, and practice for mentoring and factors associated with them. BMC Nursing 2024;23(1) View
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  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
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Books/Policy Documents

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