Epidemiological Characteristics of Adverse Drug Reactions Induced by Traditional Chinese Medicine Injections Based on Bayesian Network and Decision Tree

LI Li; QIN Huilian; GAN Jianzhong; KUANG Junjian; LIANG JianLong; LIANG Jiehao; HUANG Qiuyan; LIANG Bo; LI Tian; LIANG Jun

doi:10.14009/j.issn.1672-2124.2021.01.025

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Epidemiological Characteristics of Adverse Drug Reactions Induced by Traditional Chinese Medicine Injections Based on Bayesian Network and Decision Tree

更新时间：2022-10-08

- Epidemiological Characteristics of Adverse Drug Reactions Induced by Traditional Chinese Medicine Injections Based on Bayesian Network and Decision Tree
- Vol. 21, Issue 1, Pages: 101-104(2021)
- 作者机构：
  
  1. 梧州市中医医院药学部
  2. 梧州市中医医院外三科
  3. 梧州市中医医院下肢骨二科
  4. 梧州市药事管理质量控制中心
- 作者简介：
- 基金信息：
- DOI：10.14009/j.issn.1672-2124.2021.01.025
  CLC： R285
- Published：2021，
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[1]黎鹂,覃慧莲,甘键钟,邝俊健,梁健龙,梁杰豪,黄秋燕,梁波,李甜,梁俊.基于贝叶斯网络与决策树的中药注射剂致药品不良反应的流行病学特点研究[J].中国医院用药评价与分析,2021,21(01):101-104+108.

LI Li, QIN Huilian, GAN Jianzhong, et al. Epidemiological Characteristics of Adverse Drug Reactions Induced by Traditional Chinese Medicine Injections Based on Bayesian Network and Decision Tree. [J]. 21(1):101-104(2021)
[1]黎鹂,覃慧莲,甘键钟,邝俊健,梁健龙,梁杰豪,黄秋燕,梁波,李甜,梁俊.基于贝叶斯网络与决策树的中药注射剂致药品不良反应的流行病学特点研究[J].中国医院用药评价与分析,2021,21(01):101-104+108. DOI： 10.14009/j.issn.1672-2124.2021.01.025.

LI Li, QIN Huilian, GAN Jianzhong, et al. Epidemiological Characteristics of Adverse Drug Reactions Induced by Traditional Chinese Medicine Injections Based on Bayesian Network and Decision Tree. [J]. 21(1):101-104(2021) DOI： 10.14009/j.issn.1672-2124.2021.01.025.

摘要

目的:探讨广西壮族自治区梧州市（以下简称"梧州地区"）中药注射剂致药品不良反应（adverse drug reaction

ADR）的流行病学特点。方法:收集2011—2019年梧州地区中药注射剂致ADR报告

使用Microsoft ACCESS软件构建数据库

进而以SPSS Modeler 14.1数据挖掘平台

应用CART、CHAID决策树算法和贝叶斯网络等方法开展数据挖掘研究。结果:共收集中药注射剂致ADR详细案例1 370例

其中一般的ADR为1 239例（占90.44%）

严重的ADR为131例（占9.56%）。贝叶斯网络分析结果显示

中药注射剂致ADR的临床表现与患者年龄等因素存在相关性

在> 60岁年龄段人群中

皮肤损害所占比例逐渐降低

其他系统损害所占比例逐渐升高。决策树CART算法结果显示

ADR的临床表现主要为皮肤损害

各年龄段患者的ADR以皮肤损害为主。决策树CHAID算法结果显示

ADR的临床表现主要为皮肤损害

一般的ADR以皮肤损害为主

严重的ADR以全身系统损害、呼吸系统损害为主。结论:梧州地区中药注射剂致ADR的流行病学特点可能与患者年龄、ADR发生时间和ADR类型等因素相关

尚需更大样本量的数据分析验证。

Abstract

OBJECTIVE: To probe into the epidemiological characteristics of adverse drug reactions（ ADR）induced by traditional Chinese medicine injections in Wuzhou

Guangxi Zhuang Autonomous Region（ Hereinafter referred to as "Wuzhou"）. METHODS: ADR reports induced by traditional Chinese medicine injections in Wuzhou from 2011 to 2019 were collected. Microsoft ACCESS software was used to establish the database

and SPSS Modeler14. 1 data mining platform was used to carry out data mining research based on CART

CHAID decision tree algorithm and Bayesian network methods. RESULTS: A total of 1 370 detailed cases of ADR induced by traditional Chinese medicine injections were collected

of which 1 239 cases were general（ 90. 44%） and 131 cases were severe（ 9. 56%）. The results of Bayesian network analysis showed that the clinical manifestations of ADR induced by traditional Chinese medicine injection were related to the age of patients. In the age group of > 60 years old

the proportion of skin damage gradually decreased

and the proportion of other system damage gradually increased. The results of cart algorithm showed that the main clinical manifestation of ADR was skin damage

and skin damage was the main manifestation of ADR in all age groups. The results of decision tree CHAID algorithm show that the main clinical manifestation of ADR was skin damage

the general ADR was mainly skin damage

and the serious ADR were mainly systemic damage and respiratory damage.. CONCLUSIONS: The epidemiological characteristics of ADR induced by traditional Chinese medicine injections in Wuzhou may be related to the age of patients

occurrence time of ADR and types of ADR

which need to be analyzed and verified by data analysis of a larger sample size.

关键词

中药注射剂数据挖掘药品不良反应决策树贝叶斯网络

Keywords

Traditional Chinese medicine injectionsData miningAdverse drug reactionsDecision treeBayesian network

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