Develop an ADR prediction system of Chinese herbal injections containing Panax notoginseng saponin: a nested case-control study using machine learning.
Develop an ADR prediction system of Chinese herbal injections containing Panax notoginseng saponin: a nested case-control study using machine learning.
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DOI：
10.1136/bmjopen-2022-061457
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发表时间：
2022-09-08
期刊：
影响因子：
2.9
通讯作者：
Tong RS
中科院分区：
文献类型：
--
作者：
Wu XW;Zhang JY;Chang H;Song XW;Wen YL;Long EW;Tong RS
本研究旨在建立基于机器学习算法的药物不良反应（ADR）前因后果预测系统，为三七皂苷类中药注射剂在临床中的安全使用提供参考。巢式病例对照研究。国家药品不良反应监测和电子病历系统中心。所有患者均来自四川省5家医疗机构，时间为2010年1月至2018年12月。使用三七皂苷类中药注射剂发生不良反应的患者数据来源于国家药品不良反应监测中心。采用巢式病例对照研究，按1:4的比例随机匹配EMR系统中无不良反应的患者。18种机器学习算法用于ADR预测模型的开发。用曲线下面积（AUC）、准确率、精密度、召回率和F1值评价模型的预测性能。从1080个模型中选取最优模型建立ADR预测系统。共纳入5家医疗机构的530例患者，建立了1080个ADR预测模型。其中，最优模型的AUC为0.9141，准确率为0.8947。根据最佳模型，建立了三七皂苷不良反应高危患者的早期识别预测系统。本研究基于机器学习模型开发的预测系统具有良好的预测性能和潜在的临床应用前景。
This study aimed to develop an adverse drug reactions (ADR) antecedent prediction system using machine learning algorithms to provide the reference for security usage of Chinese herbal injections containing Panax notoginseng saponin in clinical practice. A nested case–control study. National Center for ADR Monitoring and the Electronic Medical Record (EMR) system. All patients were from five medical institutions in Sichuan Province from January 2010 to December 2018. Data of patients with ADR who used Chinese herbal injections containing Panax notoginseng saponin were collected from the National Center for ADR Monitoring. A nested case–control study was used to randomly match patients without ADR from the EMR system by the ratio of 1:4. Eighteen machine learning algorithms were applied for the development of ADR prediction models. Area under curve (AUC), accuracy, precision, recall rate and F1 value were used to evaluate the predictive performance of the model. An ADR prediction system was established by the best model selected from the 1080 models. A total of 530 patients from five medical institutions were included, and 1080 ADR prediction models were developed. Among these models, the AUC of the best capable one was 0.9141 and the accuracy was 0.8947. According to the best model, a prediction system, which can provide early identification of patients at risk for the ADR of Panax notoginseng saponin, has been established. The prediction system developed based on the machine learning model in this study had good predictive performance and potential clinical application.
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影响因子：
--
作者：
Qu J;Xu N;Zhang J;Geng X;Zhang R
通讯作者：
Zhang R
HLA-C12:02与血塞通引起的皮肤药物不良反应密切相关
影响因子：
2.8
作者：
Yan, Sijia;Xiong, Hao;Xing, Qinghe
通讯作者：
Xing, Qinghe
DOI：
10.1186/1756-9966-30-93
发表时间：
2011-10-05
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Kadoyama K;Kuwahara A;Yamamori M;Brown JB;Sakaeda T;Okuno Y
通讯作者：
Okuno Y
影响因子：
3.7
作者：
Tangiisuran B;Scutt G;Stevenson J;Wright J;Onder G;Petrovic M;van der Cammen TJ;Rajkumar C;Davies G
通讯作者：
Davies G
影响因子：
3.7
作者：
Imai, Shungo;Takekuma, Yoh;Sugawara, Mitsuru
通讯作者：
Sugawara, Mitsuru