Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)
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DOI: 10.1007/s40264-018-0762-z
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References listed on IDEAS
- 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.
- 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.
- 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.
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Cited by:
- Siun Kim & Taegwan Kang & Tae Kyu Chung & Yoona Choi & YeSol Hong & Kyomin Jung & Howard Lee, 2023. "Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques," Drug Safety, Springer, vol. 46(8), pages 781-795, August.
- 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.
- Hui Xing Tan & Chun Hwee Desmond Teo & Pei San Ang & Wei Ping Celine Loke & Mun Yee Tham & Siew Har Tan & Bee Leng Sally Soh & Pei Qin Belinda Foo & Zheng Jye Ling & Wei Luen James Yip & Yixuan Tang &, 2022. "Combining Machine Learning with a Rule-Based Algorithm to Detect and Identify Related Entities of Documented Adverse Drug Reactions on Hospital Discharge Summaries," Drug Safety, Springer, vol. 45(8), pages 853-862, August.
- Likeng Liang & Jifa Hu & Gang Sun & Na Hong & Ge Wu & Yuejun He & Yong Li & Tianyong Hao & Li Liu & Mengchun Gong, 2022. "Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources," Drug Safety, Springer, vol. 45(5), pages 511-519, May.
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