Signal detection for adverse event of varenicline in Korea Adverse Event Reporting System
نویسندگان
چکیده
منابع مشابه
Signal Detection of Adverse Drug Reaction of Amoxicillin Using the Korea Adverse Event Reporting System Database
We conducted pharmacovigilance data mining for a β-lactam antibiotics, amoxicillin, and compare the adverse events (AEs) with the drug labels of 9 countries including Korea, USA, UK, Japan, Germany, Swiss, Italy, France, and Laos. We used the Korea Adverse Event Reporting System (KAERS) database, a nationwide database of AE reports, between December 1988 and June 2014. Frequentist and Bayesian ...
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PURPOSE To detect signals of adverse drug events after imipenem treatment using the Korea Institute of Drug Safety & Risk Management-Korea adverse event reporting system database (KIDS-KD). MATERIALS AND METHODS We performed data mining using KIDS-KD, which was constructed using spontaneously reported adverse event (AE) reports between December 1988 and June 2014. We detected signals calculat...
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Immunizations against most vaccine-preventable diseases will be needed indefinitely unless the disease is eradicated. Public acceptance of immunizations may be threatened as vaccine coverage increases and disease decreases, however, due to the increase in both causally and coincidentally related vaccine adverse events. The post-marketing surveillance for such events in the USA in response to th...
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BACKGROUND To identify safety signals by manual review of individual report in large surveillance databases is time consuming; such an approach is very unlikely to reveal complex relationships between medications and adverse events. Since the late 1990s, efforts have been made to develop data mining tools to systematically and automatically search for safety signals in surveillance databases. I...
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Efficiently mining multiple drug interactions and reactions from Adverse Event Reporting System (AERS) is a challenging problem which has not been sufficiently addressed by existing methods. To tackle this challenge, we propose a FCI-fliter approach which leverages the efforts of UMLS mapping, frequent closed itemset mining, and uninformative association identification and removal. By applying ...
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ژورنال
عنوان ژورنال: Korean Journal of Clinical Pharmacy
سال: 2022
ISSN: ['1226-6051', '1975-1869', '2508-786X']
DOI: https://doi.org/10.24304/kjcp.2022.32.1.1