Title :
Detect Adverse Drug Reactions for Drug Simvastatin
Author :
Yihui Liu ; 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 Simvastatin. 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; feature extraction; matrix algebra; medical computing; ADR detection; Simvastatin; adverse drug reaction detection; computerized method; feature matrix; feature selection; public health issue; Cancer; Databases; Drugs; Feature extraction; Neoplasms; Pain; Skin; Simvastatin; adverse drug reaction; feature matrix; feature selection;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.101