Mining patterns of adverse events using aggregated clinical trial results

scientific article published on 18 March 2013

Mining patterns of adverse events using aggregated clinical trial results is …
instance of (P31):
scholarly articleQ13442814

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P932PMC publication ID3814483
P698PubMed publication ID24303317

P50authorJake LuoQ59187975
Rong XuQ64481799
P2093author name stringGuo-Qiang Zhang
P2860cites workNovel data-mining methodologies for adverse drug event discovery and analysisQ28681788
Dynamic categorization of clinical research eligibility criteria by hierarchical clusteringQ28744409
Is chronic renal failure a risk factor for the development of erosive osteoarthritis?Q33561510
Automated detection of adverse events using natural language processing of discharge summariesQ33895651
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Adverse drug event surveillance and drug withdrawals in the United States, 1969-2002: the importance of reporting suspected reactionsQ34429480
Semi-Automatically Inducing Semantic Classes of Clinical Research Eligibility Criteria Using UMLS and Hierarchical ClusteringQ34584539
Incidence of fatal adverse drug reactions: a population based studyQ36536453
Atrial fibrillation in acute myocardial infarction: a systematic review of the incidence, clinical features and prognostic implicationsQ37358467
The $17.1 billion problem: the annual cost of measurable medical errorsQ37862506
The costs of adverse drug events in hospitalized patients. Adverse Drug Events Prevention Study GroupQ39439054
Frequency of adverse reactions to hepatitis B vaccine in 43,618 personsQ40736807
Preventable adverse drug events in hospitalized patients: a comparative study of intensive care and general care unitsQ41575106
Mandatory disclosure of trial results for drugs and devicesQ42973086
Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010.Q43869540
Septic shockQ74598620
P304page(s)112-116
P577publication date2013-03-18
P1433published inAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational ScienceQ27723308
P1476titleMining patterns of adverse events using aggregated clinical trial results
P478volume2013

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cites work (P2860)
Q35917208Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events
Q28829259Generalized enrichment analysis improves the detection of adverse drug events from the biomedical literature
Q34434844Mining cancer-specific disease comorbidities from a large observational health database
Q31137297Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data
Q36599215Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms

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