Thumbnail
Access Restriction
Subscribed

Author Karimi, Sarvnaz ♦ Wang, Chen ♦ Metke-Jimenez, Alejandro ♦ Gaire, Raj ♦ Paris, Cecile
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Drug side effect ♦ Adverse drug reaction ♦ Data mining ♦ Drug safety ♦ Signal detection ♦ Statistical analysis ♦ Text mining
Abstract We review data mining and related computer science techniques that have been studied in the area of drug safety to identify signals of adverse drug reactions from different data sources, such as spontaneous reporting databases, electronic health records, and medical literature. Development of such techniques has become more crucial for public heath, especially with the growth of data repositories that include either reports of adverse drug reactions, which require fast processing for discovering signals of adverse reactions, or data sources that may contain such signals but require data or text mining techniques to discover them. In order to highlight the importance of contributions made by computer scientists in this area so far, we categorize and review the existing approaches, and most importantly, we identify areas where more research should be undertaken.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-05-11
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 47
Issue Number 4
Page Count 39
Starting Page 1
Ending Page 39


Open content in new tab

   Open content in new tab
Source: ACM Digital Library