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Citing this Article

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Published on 26.11.18 in Vol 6, No 4 (2018): Oct-Dec

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

Works citing "Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning"

According to Crossref, the following articles are citing this article (DOI 10.2196/12159):

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

  1. Wu S, Roberts K, Datta S, Du J, Ji Z, Si Y, Soni S, Wang Q, Wei Q, Xiang Y, Zhao B, Xu H. Deep learning in clinical natural language processing: a methodical review. Journal of the American Medical Informatics Association 2020;27(3):457
    CrossRef
  2. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816
    CrossRef
  3. Dandala B, Joopudi V, Tsou C, Liang JJ, Suryanarayanan P. Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-aware Neural Attentive Models (Preprint). JMIR Medical Informatics 2020;
    CrossRef
  4. Issa NT, Stathias V, Schürer S, Dakshanamurthy S. Machine and deep learning approaches for cancer drug repurposing. Seminars in Cancer Biology 2020;
    CrossRef
  5. Christopoulou F, Tran TT, Sahu SK, Miwa M, Ananiadou S. Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods. Journal of the American Medical Informatics Association 2020;27(1):39
    CrossRef
  6. Ju M, Nguyen NTH, Miwa M, Ananiadou S. An ensemble of neural models for nested adverse drug events and medication extraction with subwords. Journal of the American Medical Informatics Association 2020;27(1):22
    CrossRef
  7. Basile AO, Yahi A, Tatonetti NP. Artificial Intelligence for Drug Toxicity and Safety. Trends in Pharmacological Sciences 2019;40(9):624
    CrossRef
  8. Chen T, Wu M, Li H. A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning. Database 2019;2019
    CrossRef
  9. Chen J, Lalor J, Liu W, Druhl E, Granillo E, Vimalananda VG, Yu H. Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Journal of Medical Internet Research 2019;21(3):e11990
    CrossRef
  10. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966
    CrossRef