Signal Detection from Spontaneous Reports
نویسندگان
چکیده
منابع مشابه
Applying Methods for Signal Detection in Spontaneous Reports to Electronic Patient Records
Currently, pharmacovigilance relies mainly on disproportionality analysis of spontaneous reports. However, the analysis of spontaneous reports is concerned with several problems, such as reliability, under-reporting and insufficient patient information. Longitudinal healthcare data, such as Electronic Patient Records (EPRs) in which comprehensive information of each patient is covered, is a com...
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BACKGROUND AND OBJECTIVE Spontaneous reporting systems (SRSs) remain the cornerstone of post-marketing drug safety surveillance despite their well-known limitations. Judicious use of other available data sources is essential to enable better detection, strengthening and validation of signals. In this study, we investigated the potential of electronic healthcare records (EHRs) to be used alongsi...
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Timely diagnosis of fatigue helps to improve the quality and effectiveness of neurofeedback training. Neurofeedback training (NFT) is a method that can change brain activity by altering brain signal fluctuations and teaches individuals to produce or reproduce their brain activity patterns in order to improve performance. Neurofeedback training has been widely utilized over the recent years owi...
متن کاملCombing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
OBJECTIVE Data-mining algorithms that can produce accurate signals of potentially novel adverse drug reactions (ADRs) are a central component of pharmacovigilance. We propose a signal-detection strategy that combines the adverse event reporting system (AERS) of the Food and Drug Administration and electronic health records (EHRs) by requiring signaling in both sources. We claim that this approa...
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ژورنال
عنوان ژورنال: Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku
سال: 2001
ISSN: 1342-0445,1882-790X
DOI: 10.3820/jjpe1996.6.101