Search Datasets in Literature: A Case Study of GWAS.
Dong X, Zhang Y, Xu H. Search Datasets in Literature: A Case Study of GWAS. AMIA Joint Summits On Translational Science Proceedings 2017, 2017: 40-49. PMID: 28815103, PMCID: PMC5543360.Peer-Reviewed Original ResearchRecognition systemMEDLINE abstractsDataset search enginePattern-based rulesText mining methodsData setsUnderlying data setSearch datasetsData discoverabilityUse casesSearch enginesDataset attributesMining methodsF-measureDomain dictionaryScalable approachHybrid approachDatasetFinderRetrieving literatureDiscoverabilityUltimate goalCase studySetScientific publicationsIdentification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
Cai R, Liu M, Hu Y, Melton B, Matheny M, Xu H, Duan L, Waitman L. Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artificial Intelligence In Medicine 2017, 76: 7-15. PMID: 28363289, PMCID: PMC6438384, DOI: 10.1016/j.artmed.2017.01.004.Peer-Reviewed Original ResearchConceptsDrug-drug interactionsTraditional association rule mining methodsAssociation rule mining methodAssociation rule discoveryAssociation rule miningRule mining methodAdverse Event Reporting SystemAdverse drug-drug interactionsAdverse event reportsAdverse eventsData-driven discoveryHigher-order associationsRule miningRule discoveryDrug safety surveillanceMining methodsBayesian networkDrug combinationsChallenging taskCausal associationDrug Administration Adverse Event Reporting SystemDDI identificationAdverse drug reactionsCombination of drugsEvent Reporting System