Assessing cardiovascular drug safety for clinical decision-making. - Test2 - elhamkhani - TriplyDB

Assessing cardiovascular drug safety for clinical decision-making.

Assessing cardiovascular drug safety for clinical decision-making.

http://www.wikidata.org/entity/Q38099504

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Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval.Use of antihistamines and risk of ventricular tachyarrhythmia: a nested case-control study in five European countries from the ARITMO project.Integrating cardiomyocytes from human pluripotent stem cells in safety pharmacology: has the time come?Cases of drug-induced Torsade de Pointes: a review of Belgian cases in the EudraVigilance database.Risk factors for QTc-prolongation: systematic review of the evidence.Accuracy of an automated knowledge base for identifying drug adverse reactions.Drug utilization study of systemic antifungal agents in a Brazilian tertiary care hospital.Medical decision support systems and therapeutics: The role of autopilots.Guidelines for autopsy investigation of sudden cardiac death: 2017 update from the Association for European Cardiovascular Pathology.Applicability of a Novel Formula (Bogossian formula) for Evaluation of the QT-Interval in Heart Failure and Left Bundle Branch Block Due to Right Ventricular Pacing.A new experimentally validated formula to calculate the QT interval in the presence of left bundle branch block holds true in the clinical setting.

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Assessing cardiovascular drug safety for clinical decision-making.

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Assessing cardiovascular drug safety for clinical decision-making.

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NRCARDIO.2013.57

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Nature Reviews Cardiology

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Assessing cardiovascular drug safety for clinical decision-making.

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Klaus Romero

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Antipsychotics, glycemic disorders, and life-threatening diabetic events: a Bayesian data-mining analysis of the FDA adverse event reporting system (1968-2004).

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The quality, breadth, and timeliness of content updating vary substantially for 10 online medical texts: an analytic survey.

Combining patient-level and summary-level data for Alzheimer's disease modeling and simulation: a β regression meta-analysis.

Polypharmacy, adverse drug-related events, and potential adverse drug interactions in elderly patients presenting to an emergency department.

Cellular basis of drug-induced torsades de pointes

Concordance of severity ratings provided in four drug interaction compendia.

Drugs, QT interval prolongation and ICH E14: the need to get it right.

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330-337

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10.1038/NRCARDIO.2013.57

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Raymond L Woosley

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2013-04-16T00:00:00Z

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