Published on in Vol 7, No 3 (2019): Jul-Sep

Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study

Journals

  1. Xu D, Gopale M, Zhang J, Brown K, Begoli E, Bethard S. Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization. Journal of the American Medical Informatics Association 2020;27(10):1510 View
  2. Park B, Afzal M, Hussain J, Abbas A, Lee S. Automatic Identification of High Impact Relevant Articles to Support Clinical Decision Making Using Attention-Based Deep Learning. Electronics 2020;9(9):1364 View
  3. Li L, Wang P, Yan J, Wang Y, Li S, Jiang J, Sun Z, Tang B, Chang T, Wang S, Liu Y. Real-world data medical knowledge graph: construction and applications. Artificial Intelligence in Medicine 2020;103:101817 View
  4. Colicchio T, Dissanayake P, Cimino J. Formal representation of patients’ care context data: the path to improving the electronic health record. Journal of the American Medical Informatics Association 2020;27(11):1648 View
  5. Kang H, Li J, Wu M, Shen L, Hou L. Building a Pharmacogenomics Knowledge Model Toward Precision Medicine: Case Study in Melanoma. JMIR Medical Informatics 2020;8(10):e20291 View
  6. Jim H, Hoogland A, Brownstein N, Barata A, Dicker A, Knoop H, Gonzalez B, Perkins R, Rollison D, Gilbert S, Nanda R, Berglund A, Mitchell R, Johnstone P. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182 View
  7. Kersloot M, van Putten F, Abu-Hanna A, Cornet R, Arts D. Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies. Journal of Biomedical Semantics 2020;11(1) View
  8. Qin Q, Zhao S, Liu C, Hassanien A. A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records. Complexity 2021;2021:1 View
  9. Tahayori B, Chini‐Foroush N, Akhlaghi H. Advanced natural language processing technique to predict patient disposition based on emergency triage notes. Emergency Medicine Australasia 2021;33(3):480 View
  10. Kim Y, Lee J, Choi S, Lee J, Kim J, Seok J, Joo H. Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records. Scientific Reports 2020;10(1) View
  11. Ji Y, Zhou Z, Liu H, Davuluri R, Kelso J. DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome. Bioinformatics 2021;37(15):2112 View
  12. Lu Z, Wang J, Li X. Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Model: Model Development Study. Journal of Medical Internet Research 2021;23(3):e22860 View
  13. Lee H, Kang J, Yeo J. Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment. Journal of Medical Internet Research 2021;23(5):e27460 View
  14. Mitra A, Rawat B, McManus D, Yu H. Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study. JMIR Medical Informatics 2021;9(7):e27527 View
  15. Emmert-Streib F. Grand Challenges for Artificial Intelligence in Molecular Medicine. Frontiers in Molecular Medicine 2021;1 View
  16. Percha B. Modern Clinical Text Mining: A Guide and Review. Annual Review of Biomedical Data Science 2021;4(1):165 View
  17. Miftahutdinov Z, Kadurin A, Kudrin R, Tutubalina E, Wren J. Medical concept normalization in clinical trials with drug and disease representation learning. Bioinformatics 2021 View

Books/Policy Documents

  1. Blinov P, Avetisian M, Kokh V, Umerenkov D, Tuzhilin A. Artificial Intelligence in Medicine. View
  2. Zhu R, Tu X, Huang J. Data Analytics in Biomedical Engineering and Healthcare. View
  3. Lin H, Yang L, Wang P. Trends and Applications in Information Systems and Technologies. View
  4. Jia G, Zhu W, Tang J, Zhang W. HCI in Business, Government and Organizations. View