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

Natural Language Processing (692) Clinical Informatics (1022) Electronic Health Records (1053) Machine Learning (1465) Nursing in a Hospital Setting (101) Nursing Records (14)

Published on in Vol 7, No 2 (2019): Apr-Jun

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Authors of this article:

Liyuan Zhou1, 2 Author Orcid Image ;   Hanna Suominen1, 2, 3, 4 Author Orcid Image ;   Tom Gedeon1 Author Orcid Image
Article Authors Cited by (9) Tweetations (16) Metrics

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  2. Omoregbe N, Ndaman I, Misra S, Abayomi-Alli O, Damaševičius R, Dogra A. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering 2020;2020:1 View
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  6. Williams E, Kienast M, Medawar E, Reinelt J, Merola A, Klopfenstein S, Flint A, Heeren P, Poncette A, Balzer F, Beimes J, von Bünau P, Chromik J, Arnrich B, Scherf N, Niehaus S. A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study. JMIR Medical Informatics 2023;11:e43847 View
  7. Cai L, Li J, Lv H, Liu W, Niu H, Wang Z. Integrating domain knowledge for biomedical text analysis into deep learning: A survey. Journal of Biomedical Informatics 2023;143:104418 View
  8. Mun M, Kim A, Woo K. Natural Language Processing Application in Nursing Research. CIN: Computers, Informatics, Nursing 2024 View
  9. Chen K, Xu W, Li X. The Potential of Gemini and GPTs for Structured Report Generation based on Free-Text 18F-FDG PET/CT Breast Cancer Reports. Academic Radiology 2024 View