Novel data-mining methodologies for adverse drug event discovery and analysis
about
A curated and standardized adverse drug event resource to accelerate drug safety researchUtilizing social media data for pharmacovigilance: A reviewThe coming age of data-driven medicine: translational bioinformatics' next frontierCo-prescription trends in a large cohort of subjects predict substantial drug-drug interactionsOpenVigil FDA - Inspection of U.S. American Adverse Drug Events Pharmacovigilance Data and Novel Clinical ApplicationsBig data are coming to psychiatry: a general introductionPharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster featuresComputational approaches for pharmacovigilance signal detection: toward integrated and semantically-enriched frameworksLessons learned from developing a drug evidence base to support pharmacovigilancePharmacovigilance Using Clinical NotesAssociation rule mining in the US Vaccine Adverse Event Reporting System (VAERS).Computational drug repositioning: from data to therapeutics.Signal detection and monitoring based on longitudinal healthcare dataDrug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic.Toward enhanced pharmacovigilance using patient-generated data on the internetHepatotoxicity associated with agomelatine and other antidepressants: Disproportionality analysis using pooled pharmacovigilance data from the Uppsala Monitoring Centre.Legal and regulatory considerations associated with use of patient-generated health data from social media and mobile health (mHealth) devicesA Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions.Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study.Big Data: transforming drug development and health policy decision making-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.Exploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies.Literature-Based Discovery of Confounding in Observational Clinical DataLarge-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.Medication-wide association studies.Active Monitoring of Adverse Drug Reactions with Neural Network Technology.Advancing the field of pharmaceutical risk minimization through application of implementation science best practices.Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.Patient stratification and identification of adverse event correlations in the space of 1190 drug related adverse events.Adverse drug events with hyperkalaemia during inpatient stays: evaluation of an automated method for retrospective detection in hospital databasesTranslational bioinformatics embraces big data.Text mining for adverse drug events: the promise, challenges, and state of the art.Fusion of nonclinical and clinical data to predict human drug safety.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.A time-indexed reference standard of adverse drug reactions.Systems pharmacology augments drug safety surveillancePortable automatic text classification for adverse drug reaction detection via multi-corpus training.Pharmacovigilance in oncology: evaluation of current practice and future perspectives.Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS)
P2860
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P2860
Novel data-mining methodologies for adverse drug event discovery and analysis
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Novel data-mining methodologies for adverse drug event discovery and analysis
@ast
Novel data-mining methodologies for adverse drug event discovery and analysis
@en
Novel data-mining methodologies for adverse drug event discovery and analysis
@nl
type
label
Novel data-mining methodologies for adverse drug event discovery and analysis
@ast
Novel data-mining methodologies for adverse drug event discovery and analysis
@en
Novel data-mining methodologies for adverse drug event discovery and analysis
@nl
prefLabel
Novel data-mining methodologies for adverse drug event discovery and analysis
@ast
Novel data-mining methodologies for adverse drug event discovery and analysis
@en
Novel data-mining methodologies for adverse drug event discovery and analysis
@nl
P2093
P2860
P3181
P356
P1476
Novel data-mining methodologies for adverse drug event discovery and analysis
@en
P2093
P2860
P304
P3181
P356
10.1038/CLPT.2012.50
P407
P577
2012-06-01T00:00:00Z