Title :
Detect Adverse Drug Reactions for Drug Alendronate
Author :
Liu, Yihui ; Aickelin, Uwe
Author_Institution :
Inst. of Intell. Inf. Process., Shandong Polytech. Univ., Jinan, China
Abstract :
Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Alendronate. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
Keywords :
drugs; matrix algebra; medical computing; ADR; adverse drug reaction detection; alendronate drug; feature matrix; feature selection; public health issue; Biomedical imaging; Databases; Diseases; Drugs; Feature extraction; Pain; Skin; Alendronate; adverse drug reaction; feature matrix; feature selection;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4469-2
DOI :
10.1109/BCGIN.2012.219