Probability Analysis on Associations of Adverse Drug Events with Drug-Drug Interactions

Author

Huang, Yu-Ting ; Lin, Shih-Fang ; Chiu, Chung-Cheng ; Yeh, Hsiang-Yuan ; Soo, Von-Wun

Author_Institution

Nat. Tsing Hua Univ., Hsinchu

fYear

2007

fDate

14-17 Oct. 2007

Firstpage

1308

Lastpage

1312

Abstract

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.

Keywords

data mining; decision trees; drugs; medical information systems; probability; adverse drug reaction; adverse event reporting system; association rules; clinical reports; decision tree; drug-drug interactions; probability analysis; Association rules; Bayesian methods; Biological information theory; Costs; Databases; Drugs; Frequency; Information analysis; Medical diagnostic imaging; Signal generators; Adverse drug reaction; association rules; drug-drug interactions; probability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-1509-0

Type

conf

DOI

10.1109/BIBE.2007.4375737

Filename

4375737