| 基于BERT模型的医疗安全事件智能分类研究与实践 |
| 修订日期：2023-10-27 点此下载全文 |
| 引用本文：赵从朴,袁达,朱溥珏,等.基于BERT模型的医疗安全事件智能分类研究与实践[J].医学信息学杂志,2024,45(1):27-32, 38 |
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| 基金项目:北京协和医学院中央高校基本科研业务费项目(项目编号:3332022087)。 |
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| 中文摘要:目的/意义 改进医疗安全事件分类评估模式,提升工作效率和时效性。方法/过程 选取既往医疗安全事件数据进行预处理,利用BERT模型进行训练、测试、迭代优化,构建医疗安全事件智能分类预测模型。结果/结论 利用该模型对2022年1—11月临床科室上报的466例医疗安全事件进行分类,F1值达0.66。将BERT模型应用于医疗安全事件分类评估辅助,可提升工作效率和时效性,有助于及时干预医疗安全风险隐患。 |
| 中文关键词:医疗安全事件 BERT 深度学习 智能分类 |
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| Study and Practice on Intelligent Classification of Medical Safety Incidents Based on BERT Model |
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| Abstract:Purpose/Significance To improve the classification and evaluation mode of medical safety incidents, and to improve work efficiency and timeliness. Method/Process The data of previous medical safety incidents are pre-processed, BERT model is used for training, testing and iterative optimization, and an intelligent classification and prediction model for medical safety incidents is built. Result/Conclusion The model is used to classify 466 medical safety incidents reported by clinical departments from January to November 2022, and F1 value reaches 0.66. The application of BERT model in the classification and evaluation of medical safety incidents can improve work efficiency and timeliness, and help timely intervene in medical safety risks. |
| keywords:medical safety incidents BERT deep learning intelligent classification |
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