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Advances in the application of machine learning in the prediction of adverse drug reactions
更新时间：2026-02-10

    • Advances in the application of machine learning in the prediction of adverse drug reactions

    • “Machine learning has shown great potential in the field of predicting adverse drug reactions (ADRs). Experts have summarized its application progress by reviewing domestic and foreign literature, providing new ideas for early warning and risk prediction of clinical ADRs. However, it still faces limitations in data quality, model evaluation, and interpretability. In the future, it is necessary to follow the "technology validation integration" approach to promote model implementation.”
    • ZHONGGUO YAOFANG   Vol. 37, Issue 1, Pages: 105-110(2026)

    • DOI：10.6039/j.issn.1001-0408.2026.01.19    

      CLC： R969.3;TP181

    • Received：06 August 2025，

      Revised：2025-12-11，

      Accepted：14 December 2025，

      Published：15 January 2026

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  • XU Mengjia,SONG Lin,YANG Tingting,et al.Advances in the application of machine learning in the prediction of adverse drug reactions[J].ZHONGGUO YAOFANG,2026,37(01):105-110. DOI： 10.6039/j.issn.1001-0408.2026.01.19.

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