首页 | 本学科首页   官方微博 | 高级检索  
检索        


Implemented Data Mining and Signal Management Systems on Spontaneous Reporting Systems' Databases and their Availability to the Scientific Community - A Systematic Review
Authors:Luis Miguel de Almeida Vieira Lima  Nuno Goncalo Sales Craveiro Nunes  Pedro Goncalo Pires da Silva Dias  Francisco Jorge Batel Marques
Institution:University of Coimbra, Coimbra, Portugal. miguelvlima@gmail.com.
Abstract:Adverse drug reactions' spontaneous reporting systems are an important element in worldwide pharmacovigilance, gathering potentially useful information for post-marketing drug safety surveillance. Data mining and signal management systems, providing the capability of reading and interpreting these systems' raw data (data that has not been subjected to processing or any other manipulation), improve its analysis process. In order for this analysis to be possible, both data mining and signal management systems and raw data should be available to researchers and the scientific community. The purpose of this work was to provide an overview of the spontaneous reporting systems databases reported in literature as having implemented a data mining and signal management system and the implementation itself, evidencing their availability to researchers. A systematic review was carried out, concluding that they are freely provided to researchers within institutions responsible for maintaining the spontaneous reporting systems, but not to most researchers within the scientific community.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号