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Citing this Article

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Published on 12.09.19 in Vol 7, No 3 (2019): Jul-Sep

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/14830):

(note that this is only a small subset of citations)

  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;
  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
  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
  4. Colicchio TK, Dissanayake PI, Cimino JJ. Formal representation of patients’ care context data: the path to improving the electronic health record. Journal of the American Medical Informatics Association 2020;
  5. Kang H, Li J, Wu M, Shen L, Hou L. Building a Pharmacogenomics Knowledge Model towards precision medicine: A Case Study in Melanoma (Preprint). JMIR Medical Informatics 2020;
  6. Jim HSL, Hoogland AI, Brownstein NC, Barata A, Dicker AP, Knoop H, Gonzalez BD, Perkins R, Rollison D, Gilbert SM, Nanda R, Berglund A, Mitchell R, Johnstone PAS. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182

According to Crossref, the following books are citing this article (DOI 10.2196/14830):

  1. Blinov P, Avetisian M, Kokh V, Umerenkov D, Tuzhilin A. Artificial Intelligence in Medicine. 2020. Chapter 11:111