2016
Information Fusion for Cocaine Dependence Recognition Using fMRI
Faria F, Cappabianco F, Li C, Ide J. Information Fusion for Cocaine Dependence Recognition Using fMRI. 2016, 1107-1112. DOI: 10.1109/icpr.2016.7899784.Peer-Reviewed Original ResearchDistinct feature setsInformation fusion approachEnsemble of classifiersInformation fusionFeature extractionFMRI classificationFeature setsFusion approachArt methodsClassification accuracyExtensive evaluationFinal accuracyNew featuresExperimental resultsTraditional methodologiesClassificationAccuracyPattern analysisClassifierHuman lifeMulti-voxel pattern analysisConnectivity measuresPowerful toolMethodologyRecognition
2015
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research
Meeker D, Jiang X, Matheny M, Farcas C, D’Arcy M, Pearlman L, Nookala L, Day M, Kim K, Kim H, Boxwala A, El-Kareh R, Kuo G, Resnic F, Kesselman C, Ohno-Machado L. A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. Journal Of The American Medical Informatics Association 2015, 22: 1187-1195. PMID: 26142423, PMCID: PMC4639714, DOI: 10.1093/jamia/ocv017.Peer-Reviewed Original ResearchConceptsFederated networkData sharing policiesParallel computation methodSharing policiesPolicy management systemData exchange policiesData storage requirementsWeb servicesNetwork queriesQuery functionalityComputation resourcesFederated modelGraphical interfaceData transportCentralized networkStorage requirementsNetwork participantsManagement systemQueriesNetworkComputation methodNew featuresMultivariate statistical estimationDifferent state lawsImportant new feature
2004
Using a Multi-Center, Computer-Based Surveillance System: Overcoming Data Collection Challenges with the Use of Technology and Creative Teamwork
Kirchner∗ C, Abrutyn E, Jones I, Fisman D, Dhond A, Kim Y, Alexander J, Daley J, Zhang H, Kim A. Using a Multi-Center, Computer-Based Surveillance System: Overcoming Data Collection Challenges with the Use of Technology and Creative Teamwork. American Journal Of Infection Control 2004, 32: e56-e57. DOI: 10.1016/j.ajic.2004.04.085.Peer-Reviewed Original ResearchManual data entryDevice informationData entryHospital information systemData collection systemInformation systemsUse of technologyBilling informationData captureDevice dataTenet HealthcareData collectionReal timeElectronic hospital information systemNew featuresSurveillance systemCollection systemDatabaseInformationCreative teamworkBenchmarkingSpecific target areasSystemComputerSame time
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