文章基本信息

标题：EFFECTIVE ALGORITHM FOR MINING ADVERSE DRUG REACTIONS
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作者：H.SANKARA VADIVU ; E.MANOHAR ; R.RAVI 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：3
页码：626-630
出版社：Shri Pannalal Research Institute of Technolgy
摘要：One of the most important issues in the assessment of drug safety is Adverse Drug Reactions(ADR). In premarketing clinical trials, most of the ADRs are not discovered because of the limitations in size. But that are discovered in post-marketing surveillance that is, the impacts of medicines are monitored when they have been delivered to the user. Nowadays, many data mining techniques and methodologies have been developed to motivate the mining and detection of ADRs. These methods are inconvenient and inefficient for users and time consuming. We proposed a combined system platform for the detection of ADRs. This system platform proposed a new data mining algorithm, named as NM-Algorithm. It is based on the genetic algorithm with supervised learning. This proposed algorithm is completely different from the association rule mining. This proposed algorithm covers both similarity and non-similarity between the elements so that it is much more efficient than others.
关键词：Adverse Drug Event; Adverse Drug ; Reaction; NMRatio