文章基本信息

标题：Adverse Drug Reaction Detection System On the basis of Clinical Data
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作者：Sujay Bankar ; Suyog Gaikwad ; Sidhesh Gawas 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：2016
卷号：5
期号：4
页码：1177-1180
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Adverse drug reactions (ADRs) is a big challenge in drug development process. Medicine s are designed to cure, treat, or prevent diseases; however, there are also risks in taking any medicine.Particularly short term or long term ADR's can cause serious harm to patients. ADR's are the harmful reactions of the drugs caused to humans due to allergies, overdose, chemical reactions between two chemicals in the medicines, etc. Discovering unknown ADR's in post-marketing surveillance as early as possible is of great importance, as it save lives and prevent harmful consequences. We will be using data mining technique Naive Bayes classifier for classification of ADR's. Timely safety surveillance after a drugs release on the market is therefore an urgent goal of public health systems. We are going to propose software system approach for proactive monitoring and detecting potential ADR's using clinical records.
关键词：Adverse Drug Reaction (ADR); ; Post-marketing surveillance; Na.ve Bayes;Association Rule ; Mining (ARM).