2018
DataMed – an open source discovery index for finding biomedical datasets
Chen X, Gururaj A, Ozyurt B, Liu R, Soysal E, Cohen T, Tiryaki F, Li Y, Zong N, Jiang M, Rogith D, Salimi M, Kim H, Rocca-Serra P, Gonzalez-Beltran A, Farcas C, Johnson T, Margolis R, Alter G, Sansone S, Fore I, Ohno-Machado L, Grethe J, Xu H. DataMed – an open source discovery index for finding biomedical datasets. Journal Of The American Medical Informatics Association 2018, 25: 300-308. PMID: 29346583, PMCID: PMC7378878, DOI: 10.1093/jamia/ocx121.Peer-Reviewed Original ResearchIngestion pipelineBiomedical datasetsSearch enginesBiomedical domainAdvanced natural language processingRelevant datasetsUser-entered queryData discovery systemUnified metadata modelData ingestion pipelinesNatural language processingOpen-source packageRetrieval engineTerminology servicesMetadata modelMetadata informationDiscovery systemData reuseDataMedBenchmark datasetsBiomedical dataData indexAverage precisionLanguage processingSource package
2015
Ranking Medical Subject Headings using a factor graph model.
Wei W, Demner-Fushman D, Wang S, Jiang X, Ohno-Machado L. Ranking Medical Subject Headings using a factor graph model. AMIA Joint Summits On Translational Science Proceedings 2015, 2015: 56-63. PMID: 26306236, PMCID: PMC4525219.Peer-Reviewed Original ResearchMean average precisionHighest mean average precisionFactor graph modelNovel data-driven approachActive research topicData-driven approachMeSH ontologyAverage precisionGraphical modelsSemantic distanceGraph modelResearch topicCitation networkNational LibraryOntologyMedical Subject HeadingsSubject headingsNetworkPreliminary resultsRecent workScenariosLibraryWork