Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning

FU Yongfei; LONG Xin; XU Hongzhen; TANG Jian; LI Xiangqing; LONG Yucheng; QIN Dong

doi:10.6039/j.issn.1001-0408.2026.04.15

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Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning

更新时间：2026-02-27

- Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning
- “Based on the concept of comprehensive triggering tools, experts have determined the trigger items for adverse reactions related to bevacizumab, constructed a serious adverse reaction prediction model, and provided a new method for drug safety monitoring.”
- ZHONGGUO YAOFANG Vol. 37, Issue 4, Pages: 497-503(2026)
- 作者机构：
  
  1.桂林医科大学药学院，广西桂林　541199
  2.桂林市人民医院药学部，广西桂林　541002
  3.桂林市人民医院数据中心，广西桂林　541002
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2026.04.15
  CLC： R979.1;R969.3;TP181
- Received：05 August 2025，
  
  Revised：2026-01-05，
  
  Accepted：07 January 2026，
  
  Published：28 February 2026
- 稿件说明：
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符永妃,龙芯,徐宏珍,等.基于全面触发工具与机器学习的贝伐珠单抗严重不良反应预测模型研究[J].中国药房,2026,37(04):497-503.

FU Yongfei,LONG Xin,XU Hongzhen,et al.Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning[J].ZHONGGUO YAOFANG,2026,37(04):497-503.
符永妃,龙芯,徐宏珍,等.基于全面触发工具与机器学习的贝伐珠单抗严重不良反应预测模型研究[J].中国药房,2026,37(04):497-503. DOI： 10.6039/j.issn.1001-0408.2026.04.15.

FU Yongfei,LONG Xin,XU Hongzhen,et al.Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning[J].ZHONGGUO YAOFANG,2026,37(04):497-503. DOI： 10.6039/j.issn.1001-0408.2026.04.15.

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Predictive model for severe adverse reaction associated with bevacizumab based on the global trigger tool and machine learning

DOI：10.6039/j.issn.1001-0408.2026.04.15