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

Clinical Information and Decision Making (1915) Electronic Health Records (1319) Machine Learning (2076) Natural Language Processing (917) Ontologies, Classifications, and Coding (324)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25113, first published .
Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study

Authors of this article:

Yen-Pin Chen1, 2, 3 Author Orcid Image ;   Yuan-Hsun Lo4 Author Orcid Image ;   Feipei Lai1 Author Orcid Image ;   Chien-Hua Huang3 Author Orcid Image
Article Authors Cited by (24) Tweetations (4) Metrics

Journals

  1. Sun Z, Lu X, Duan H, Li H. Deep Dynamic Patient Similarity Analysis: Model Development and Validation in ICU. Computer Methods and Programs in Biomedicine 2022;225:107033 View
  2. Chen Y, Huang C, Lo Y, Chen Y, Lai F. Combining attention with spectrum to handle missing values on time series data without imputation. Information Sciences 2022;609:1271 View
  3. Qiu Y, Lin F, Chen W, Xu M. Pre-training in Medical Data: A Survey. Machine Intelligence Research 2023;20(2):147 View
  4. Higaki A, Okayama H, Homma Y, Sano T, Kitai T, Yonetsu T, Torii S, Kohsaka S, Kuroda S, Node K, Matsue Y, Matsumoto S. Predictive value of neutrophil-to-lymphocyte ratio for the fatality of COVID-19 patients complicated with cardiovascular diseases and/or risk factors. Scientific Reports 2022;12(1) View
  5. Wang W, Ahn E, Feng D, Kim J. A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Machine Intelligence Research 2023;20(4):483 View
  6. Kokilepersaud K, Corona S, Prabhushankar M, AlRegib G, Wykoff C. Clinically Labeled Contrastive Learning for OCT Biomarker Classification. IEEE Journal of Biomedical and Health Informatics 2023;27(9):4397 View
  7. Chen Y, Ko P, Chi C, Chong K, Chen Y, Huang C. Association between independent practice time and patient outcomes in the emergency department: a retrospective study of residents in three urban hospitals in Taiwan. BMC Emergency Medicine 2023;23(1) View
  8. Romano M, Shih L, Paschalidis I, Au R, Kolachalama V. Large Language Models in Neurology Research and Future Practice. Neurology 2023;101(23):1058 View
  9. Hur K, Oh J, Kim J, Kim J, Lee M, Cho E, Moon S, Kim Y, Atallah L, Choi E. GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. IEEE Journal of Biomedical and Health Informatics 2024;28(1):502 View
  10. Siebra C, Kurpicz-Briki M, Wac K. Transformers in health: a systematic review on architectures for longitudinal data analysis. Artificial Intelligence Review 2024;57(2) View
  11. 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
  12. Lee Y, Jeon S, Won J, Auh Q, Noh Y. Automatic detection and visualization of temporomandibular joint effusion with deep neural network. Scientific Reports 2024;14(1) View
  13. Li Y, Luan Z, Liu Y, Liu H, Qi J, Han D. Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence 2024;7 View
  14. Nunes M, Bone J, Ferreira J, Elvas L. Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping Review. JMIR Medical Informatics 2024;12:e60164 View
  15. Shi H, Cheng Z, Cao Z. Does an innovative case-based payment scheme promote the hierarchical medical system? A tripartite evolutionary game analysis. International Journal for Equity in Health 2024;23(1) View
  16. Ben-Miled Z, Shebesh J, Su J, Dexter P, Grout R, Boustani M. Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review. Information 2025;16(1):54 View
  17. Clay B, Bergman H, Salim S, Pergola G, Shalhoub J, Davies A. Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies. Computers in Biology and Medicine 2025;188:109808 View
  18. Kang B, Lee S, Bae H, Kim C. Current Status and Direction of Generative Large Language Model Applications in Medicine : Focusing on East Asian Medicine. Journal of Physiology & Pathology in Korean Medicine 2024;38(2):49 View
  19. Amirahmadi A, Etminani F, Björk J, Melander O, Ohlsson M. Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study. JMIR Medical Informatics 2025;13:e68138 View
  20. Alkalbani A, Alrawahi A, Salah A, Haghighi V, Zhang Y, Alkindi S, Sheng Q. A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions. Information 2025;16(6):489 View
  21. Zheng Y, Bensahla A, Bjelogrlic M, Zaghir J, Turbe H, Bednarczyk L, Gaudet-Blavignac C, Ehrsam J, Marchand-Maillet S, Lovis C. A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. npj Digital Medicine 2025;8(1) View
  22. Washington P. Personalization of AI Using Personal Foundation Models Can Lead to More Precise Digital Therapeutics. JMIR AI 2025;4:e55530 View
  23. Kauffman J, Miotto R, Klang E, Costa A, Norgeot B, Zitnik M, Khader S, Wang F, Nadkarni G, Glicksberg B. Embedding Methods for Electronic Health Record Research. Annual Review of Biomedical Data Science 2025;8(1):563 View

Conference Proceedings

  1. He Y, Li Y, Hou S. 2021 3rd International Workshop on Artificial Intelligence and Education (WAIE). Document-aware Information Extractor for Chinese Medical Dialogue View