about
Delays in the post-marketing withdrawal of drugs to which deaths have been attributed: a systematic investigation and analysisAn agenda for research on adverse drug reactionsExploration of the association rules mining technique for the signal detection of adverse drug events in spontaneous reporting systemsEnhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitisPaediatric pharmacovigilance: use of pharmacovigilance data mining algorithms for signal detection in a safety dataset of a paediatric clinical study conducted in seven African countriesDramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterationsComputational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworksNovel data-mining methodologies for adverse drug event discovery and analysisMultinomial modeling and an evaluation of common data-mining algorithms for identifying signals of disproportionate reporting in pharmacovigilance databases.Signal detection and monitoring based on longitudinal healthcare dataIdentifying drugs that cause acute thrombocytopenia: an analysis using 3 distinct methods.Mining pharmacovigilance data using Bayesian logistic regression with James-Stein type shrinkage estimation.Pharmacovigilance data mining with methods based on false discovery rates: a comparative simulation study.A computerized system for detecting signals due to drug-drug interactions in spontaneous reporting systems.Improved statistical signal detection in pharmacovigilance by combining multiple strength-of-evidence aspects in vigiRank.Comparison and validation of data-mining indices for signal detection: using the Korean national health insurance claims database.Mining multi-item drug adverse effect associations in spontaneous reporting systemsSimilarity-based modeling applied to signal detection in pharmacovigilance.Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System.Mining adverse drug reactions from online healthcare forums using hidden Markov modelAutomatically Recognizing Medication and Adverse Event Information From Food and Drug Administration's Adverse Event Reporting System Narratives.Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis.Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processingBiclustering of adverse drug events in the FDA's spontaneous reporting system.Predictive modeling of structured electronic health records for adverse drug event detection.Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactionsComparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.Signal detection methodologies to support effective safety management.Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system.Antidepressants that inhibit neuronal norepinephrine reuptake are not associated with increased spontaneous reporting of cardiomyopathy.A method for controlling complex confounding effects in the detection of adverse drug reactions using electronic health recordsPostmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture?Design and analysis of post-marketing research.Profiling cumulative proportional reporting ratios of drug-induced liver injury in the FDA Adverse Event Reporting System (FAERS) database.Implementation of an automated signal detection method in the French pharmacovigilance database: a feasibility study.Detection of cases of progressive multifocal leukoencephalopathy associated with new biologicals and targeted cancer therapies from the FDA's adverse event reporting system.The consequences of drug misuse on post-marketing surveillance.Sequence Symmetry Analysis as a Signal Detection Tool for Potential Heart Failure Adverse Events in an Administrative Claims Database.
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
The role of data mining in pharmacovigilance.
@ast
The role of data mining in pharmacovigilance.
@en
type
label
The role of data mining in pharmacovigilance.
@ast
The role of data mining in pharmacovigilance.
@en
prefLabel
The role of data mining in pharmacovigilance.
@ast
The role of data mining in pharmacovigilance.
@en
P2093
P2860
P356
P1476
The role of data mining in pharmacovigilance.
@en
P2093
Charles M Gerrits
Eugene P Van Puijenbroek
Louisa Walsh
Manfred Hauben
P2860
P304
P356
10.1517/14740338.4.5.929
P407
P577
2005-09-01T00:00:00Z