Probability analysis on associations of adverse drug events with drug-drug interactions

被引：0

作者：

Huang, Yu-Ting ^{[1
]}

Lin, Shih-Fang ^{[2
]}

Chiu, Chung-Cheng ^{[1
]}

Yeh, Hsiang-Yuan ^{[1
]}

Sooi, Von-Wun ^{[1
,2
,3
]}

机构：

[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 300, Taiwan

[2] Natl Tsing Hua Univ, Inst Informat Syst & Applicat, Hsinchu 300, Taiwan

[3] Natl Univ Kaohsiung, Dept Comp Sci & Informat Engn, Kaohsiung 811, Taiwan

来源：

PROCEEDINGS OF THE 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING, VOLS I AND II | 2007年

关键词：

adverse drug reaction; probability analysis; association rules; drug-drug interactions;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and leads to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides a Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, the biologists still do not know precisely which observed events are directly caused by drug-drug interactions. We use the probability analysis method to find the associations between a set of drugs and the symptoms for predicting the ADR and apply the decision tree to discovery the association rules between the drug-drug interactions and symptoms.

引用

页码：1308 / +

页数：2

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