Title :
Detect Adverse Drug Reactions for Drug Atorvastatin
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 Atorvastatin. 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; health care; matrix algebra; medical computing; patient care; ADR detection; Atorvastatin; adverse drug reaction; feature matrix; feature selection; public health issue; Cancer; Databases; Drugs; Feature extraction; Neoplasms; Pain; Skin; Atorvastatin; adverse drug reaction; feature matrix; feature selection;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.61