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Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records

Author

Listed:
  • Feifan Liu

    (University of Massachusetts Medical School)

  • Abhyuday Jagannatha

    (University of Massachusetts)

  • Hong Yu

    (University of Massachusetts
    University of Massachusetts
    University of Massachusetts Medical School
    Bedford Veterans Affairs Medical Center)

Abstract

No abstract is available for this item.

Suggested Citation

  • Feifan Liu & Abhyuday Jagannatha & Hong Yu, 2019. "Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records," Drug Safety, Springer, vol. 42(1), pages 95-97, January.
    • Handle: RePEc:spr:drugsa:v:42:y:2019:i:1:d:10.1007_s40264-018-0766-8
    DOI: 10.1007/s40264-018-0766-8
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    References listed on IDEAS

    as
    1. Alec B. Chapman & Kelly S. Peterson & Patrick R. Alba & Scott L. DuVall & Olga V. Patterson, 2019. "Detecting Adverse Drug Events with Rapidly Trained Classification Models," Drug Safety, Springer, vol. 42(1), pages 147-156, January.
    2. Bharath Dandala & Venkata Joopudi & Murthy Devarakonda, 2019. "Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks," Drug Safety, Springer, vol. 42(1), pages 135-146, January.
    3. Abhyuday Jagannatha & Feifan Liu & Weisong Liu & Hong Yu, 2019. "Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)," Drug Safety, Springer, vol. 42(1), pages 99-111, January.
    4. Xi Yang & Jiang Bian & Yan Gong & William R. Hogan & Yonghui Wu, 2019. "MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes," Drug Safety, Springer, vol. 42(1), pages 123-133, January.
    5. Susmitha Wunnava & Xiao Qin & Tabassum Kakar & Cansu Sen & Elke A. Rundensteiner & Xiangnan Kong, 2019. "Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding," Drug Safety, Springer, vol. 42(1), pages 113-122, January.
    Full references (including those not matched with items on IDEAS)

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