A Study on Signal Detection and Automatic Warning Algorithm for Adverse Drug Reaction

Author

Wen-ge, Chen ; Jian-xiong, Deng

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

202

Lastpage

205

Abstract

To deal with the problems which exit in ADR (adverse drug reaction) signal detection and automatic warning field in China, the methods which used in ADR signal detection have been analyzed firstly in this paper. In this condition, the algorithm model of ADR signal detection and realization process have been studied by computer based on BCPNN method and SRS database. And then the realization algorithm of automatic warning has been discussed on the basis of the model. Finally, a particular analysis has been made and application process for the technology of signal detection and automatic warning have been introduced by an example.

Keywords

Bayes methods; drugs; medical computing; neural nets; signal detection; ADR signal detection; BCPNN method; SRS database; adverse drug reaction; automatic warning algorithm; Bayesian methods; Computer science; Databases; Drugs; Lead; Medical signal detection; Monitoring; Pharmaceutical technology; Signal analysis; Signal detection; ADR; BCPNN method; SRS database; automatic warning; signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1114

Filename

4722598