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

Journals

  1. Ge W, Lueck C, Apthorp D, Suominen H. Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review. Brain and Behavior 2021;11(1) View
  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
  3. McKenzie J, Rajapakshe R, Shen H, Rajapakshe S, Lin A. A Semiautomated Chart Review for Assessing the Development of Radiation Pneumonitis Using Natural Language Processing: Diagnostic Accuracy and Feasibility Study. JMIR Medical Informatics 2021;9(11):e29241 View
  4. Hwang G, Tang K, Tu Y. How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020). Interactive Learning Environments 2024;32(1):373 View
  5. Laparra E, Mascio A, Velupillai S, Miller T. A Review of Recent Work in Transfer Learning and Domain Adaptation for Natural Language Processing of Electronic Health Records. Yearbook of Medical Informatics 2021;30(01):239 View
  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;42(12):889 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