Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database.
about
Data-driven prediction of drug effects and interactionsEnhancing vaccine safety capacity globally: A lifecycle perspectiveSafety monitoring in the Vaccine Adverse Event Reporting System (VAERS)Enoxaparin-Induced Liver Injury: Case Report and Review of the Literature and FDA Adverse Event Reporting System (FAERS)Patients, their doctors, nonsteroidal anti-inflammatory drugs and the perception of riskThe coming age of data-driven medicine: translational bioinformatics' next frontierStatin-associated muscular and renal adverse events: data mining of the public version of the FDA adverse event reporting systemExploration of the association rules mining technique for the signal detection of adverse drug events in spontaneous reporting systemsOpenVigil FDA - Inspection of U.S. American Adverse Drug Events Pharmacovigilance Data and Novel Clinical ApplicationsPostmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queriesNovel data-mining methodologies for adverse drug event discovery and analysisInformation technology in pharmacovigilance: Benefits, challenges, and future directions from industry perspectivesA Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety SurveillanceSurveillance systems and methods for monitoring the post-marketing safety of influenza vaccines at the Centers for Disease Control and Prevention.Association rule mining in the US Vaccine Adverse Event Reporting System (VAERS).Surveillance of Adverse Events After Seasonal Influenza Vaccination in Pregnant Women and Their Infants in the Vaccine Adverse Event Reporting System, July 2010-May 2016.Comparison of two drug safety signals in a pharmacovigilance data mining framework.Drug safety data mining with a tree-based scan statistic.Data mining for prospective early detection of safety signals in the Vaccine Adverse Event Reporting System (VAERS): a case study of febrile seizures after a 2010-2011 seasonal influenza virus vaccine.Data mining of the public version of the FDA Adverse Event Reporting SystemDrug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic.Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms.Toward enhanced pharmacovigilance using patient-generated data on the internetUsing real-world healthcare data for pharmacovigilance signal detection - the experience of the EU-ADR project.Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.Cardiovascular and pulmonary adverse events in patients treated with BCR-ABL inhibitors: Data from the FDA Adverse Event Reporting System.Application of data mining techniques in pharmacovigilance.Early postmarketing drug safety surveillance: data mining points to consider.Application of an empiric Bayesian data mining algorithm to reports of pancreatitis associated with atypical antipsychotics.Potential utility of data-mining algorithms for early detection of potentially fatal/disabling adverse drug reactions: a retrospective evaluation.Safety of inhaled glycopyrronium in patients with COPD: a comprehensive analysis of clinical studies and post-marketing data.The role of data mining in pharmacovigilance.Human milk biomonitoring data: interpretation and risk assessment issues.Data mining in spontaneous reports.An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval.Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data.Disproportionality analysis of buprenorphine transdermal system and cardiac arrhythmia using FDA and WHO postmarketing reporting system data.Validation of New Signal Detection Methods for Web Query Log Data Compared to Signal Detection Algorithms Used With FAERS.Adverse events following quadrivalent meningococcal CRM-conjugate vaccine (Menveo®) reported to the Vaccine Adverse Event Reporting system (VAERS), 2010-2015.Risk of hepatotoxicity associated with the use of telithromycin: a signal detection using data mining algorithms.
P2860
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P2860
Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database.
description
2002 nî lūn-bûn
@nan
2002 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Use of screening algorithms an ...... spontaneous reports database.
@ast
Use of screening algorithms an ...... spontaneous reports database.
@en
type
label
Use of screening algorithms an ...... spontaneous reports database.
@ast
Use of screening algorithms an ...... spontaneous reports database.
@en
prefLabel
Use of screening algorithms an ...... spontaneous reports database.
@ast
Use of screening algorithms an ...... spontaneous reports database.
@en
P2093
P1433
P1476
Use of screening algorithms an ...... spontaneous reports database.
@en
P2093
Ana Szarfman
Robert T O'Neill
Stella G Machado
P304
P356
10.2165/00002018-200225060-00001
P577
2002-01-01T00:00:00Z
P5875
P6179
1038023122