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基于BCPNN预警技术的喜炎平注射液致荨麻疹信号检测应用研究
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| 篇名： | 基于BCPNN预警技术的喜炎平注射液致荨麻疹信号检测应用研究 |
| TITLE： | |
| 摘要： | 目的：对江西省自发呈报系统药品不良反应（ADR）监测数据库中喜炎平注射液引起荨麻疹的信号进行数据挖掘及预警分析。方法：收集江西省自发呈报系统2004－2016年连续监测的ADR报告，建立数据库，利用贝叶斯置信传播神经网络（BCPNN）法计算喜炎平注射液引起荨麻疹的信息成分（IC）值，分析信号IC值及其区间逐年变化趋势。结果：共收集2004－2016年间江西省ADR报告328 324例，经BCPNN法检测喜炎平注射液引起荨麻疹的信号IC值为1.10（IC值下限为0.65，上限为1.54），即显示有信号；各年信号IC值分布为－0.87～1.65。结论：BCPNN法结果提示荨麻疹是喜炎平注射液的预警信号，且风险有继续增加的趋势，预警精度随报告数量的增加而提高。 |
| ABSTRACT： | OBJECTIVE： To explore and analyze signals of Xiyanping injection-induced urticaria from spontaneous reporting system database of Jiangxi province. METHODS： The continuous ADR report monitoring data were collected from spontaneous reporting system of Jiangxi province， and established database. Bayesian confidence propagation neural network（BCPNN） method was used to calculate information component， IC value of Xiyanping injection-induced urticaria. The year-to-year changes of IC value and its interval were analyzed. RESULTS： A total of 328 324 ADR reports were collected in Jiangxi province during 2004-2016. The IC value of Xiyanping injection-induced urticaria detected by BCPNN method was 1.10 （the lower limit of IC value was 0.65， and upper limit was 1.54）， i.e. there was signal and the IC value ranged from -0.87 to 1.65. CONCLUSIONS： The results of BCPNN method suggest that urticaria is a warning signal of Xiyanping injection. The risk is increasing gradually， and prediction precision increase with the addition of report quantity. |
| 期刊： | 2017年第28卷第14期 |
| 作者： | 余超，徐玉茗，周鹃，万凯化，李穗，袁兴东 |
| AUTHORS： | YU Chao，XU Yuming，ZHOU Juan，WAN Kaihua，LI Sui，YUAN Xingdong |
| 关键字： | 喜炎平注射液；贝叶斯置信传播神经网络；信号检测；自发呈报系统 |
| KEYWORDS： | Xiyanping injection； Bayesian confidence propagation neural network； Signal detection； Spontaneous reporting system |
| 阅读数： | 743 次 |
| 本月下载数： | 8 次 |
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