Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions - Wikidata - awgldk - TriplyDB

Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions

Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions

http://www.wikidata.org/entity/Q28482155

about

Systematic prediction of pharmacodynamic drug-drug interactions through protein-protein-interaction network Co-prescription trends in a large cohort of subjects predict substantial drug-drug interactions Extraction of pharmacokinetic evidence of drug-drug interactions from the literature From Molecules to Patients: The Clinical Applications of Translational Bioinformatics Development and evaluation of an ensemble resource linking medications to their indications Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data Utilizing an integrated infrastructure for outcomes research: a systematic review.Using semantic predications to uncover drug-drug interactions in clinical data.Data mining for potential adverse drug-drug interactions.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.A Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions.Characterization of the mechanism of drug-drug interactions from PubMed using MeSH terms Medication-wide association studies.DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties Text mining for adverse drug events: the promise, challenges, and state of the art.Database: A New Article Type in CPT: Pharmacometrics & Systems Pharmacology.A Mixture Dose-Response Model for Identifying High-Dimensional Drug Interaction Effects on Myopathy Using Electronic Medical Record Databases Graphic Mining of High-Order Drug Interactions and Their Directional Effects on Myopathy Using Electronic Medical Records.The potential of translational bioinformatics approaches for pharmacology research.Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.A novel algorithm for analyzing drug-drug interactions from MEDLINE literature.Identification and Mechanistic Investigation of Drug-Drug Interactions Associated With Myopathy: A Translational Approach.Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records.Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness.Drug combination therapy increases successful drug repositioning.A method for systematic discovery of adverse drug events from clinical notes Downregulation of Organic Anion Transporting Polypeptide (OATP) 1B1 Transport Function by Lysosomotropic Drug Chloroquine: Implication in OATP-Mediated Drug-Drug Interactions Informatics confronts drug-drug interactions Learning signals of adverse drug-drug interactions from the unstructured text of electronic health records Mining clinical text for signals of adverse drug-drug interactions.Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity.Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects.Systematic prediction of drug combinations based on clinical side-effects.Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research.Mixture drug-count response model for the high-dimensional drug combinatory effect on myopathy.Translational High-Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models.In silico profiling of systemic effects of drugs to predict unexpected interactions.

P2860

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P2860

Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions

http://www.wikidata.org/entity/Q28482155

description

2012 nî lūn-bûn

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PLOS Computational Biology

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Literature based drug interact ...... y associated drug interactions

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Abhinita Subhadarshini

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J Thomas Callaghan

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Jon D Duke

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Lang Li

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Marcus J Overhage

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Shreyas D Karnik

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Xiaochun Li

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Xu Han

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P2860

DrugBank 3.0: a comprehensive resource for 'omics' research on drugs

Warfarin with fluoroquinolones, sulfonamides, or azole antifungals: interactions and the risk of hospitalization for gastrointestinal bleeding

SLCO1B1 variants and statin-induced myopathy--a genomewide study

Predicting in vivo drug interactions from in vitro drug discovery data.

Physiologically based pharmacokinetic model of mechanism-based inhibition of CYP3A by clarithromycin

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents

Anti-infectives and the risk of severe hypoglycemia in users of glipizide or glyburide.

Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism.

A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports

Discovery and explanation of drug-drug interactions via text mining.

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e1002614

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10.1371/JOURNAL.PCBI.1002614

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8

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8

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David Flockhart

Robert Matthew Strother

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2012-01-01T00:00:00Z

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230716195

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22912565

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medical literature

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3415435

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