DocumentCode :
3156565
Title :
Automatic Drug Adverse Reaction Discovery from Parenting Websites Using Disproportionality Methods
Author :
Hadzi-Puric, J. ; Grmusa, J.
Author_Institution :
Dept. for Comput. Sci., Fac. of Math., Belgrade, Serbia
fYear :
2012
fDate :
26-29 Aug. 2012
Firstpage :
792
Lastpage :
797
Abstract :
The pediatric fact that children "are not just little adults" reflects special drug class, dosing, pharmacokinetic parameters that must be considered when planning safe and effective health interventions, because evidence of drug safety and efficiency cannot be extrapolated from adults to children. There is significant interest in utilization of observational health care data in pediatric drug safety research. We gathered data from eight different parenting websites in order to explore automatic drug adverse reaction discovery. In recent years, Web forums offer an opportunity for parents and doctors to share healthcare information regarding prescription drugs. Our aim is to discover drugs and adverse reactions and quantify their association using statistical methods based on different measures of disproportionality. Also, applied disproportionality methods have the potential to scale well to large databases such ours.
Keywords :
Web sites; data mining; drugs; extrapolation; health care; statistical analysis; text analysis; adverse reactions; automatic drug adverse reaction discovery; disproportionality methods; extrapolation; healthcare information; large databases; observational health care data; parenting Websites; pediatric drug safety research; pharmacokinetic parameters; special drug class; statistical methods; text-mining; Biomedical measurements; Databases; Drugs; Integrated circuits; Pain; Pediatrics; disproportionality analysis; drug adverse reactions; pediatric health care; text-mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2497-7
Type :
conf
DOI :
10.1109/ASONAM.2012.144
Filename :
6425663
Link To Document :
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