2006
Dynamic Tables: An Architecture for Managing Evolving, Heterogeneous Biomedical Data in Relational Database Management Systems
Corwin J, Silberschatz A, Miller PL, Marenco L. Dynamic Tables: An Architecture for Managing Evolving, Heterogeneous Biomedical Data in Relational Database Management Systems. Journal Of The American Medical Informatics Association 2006, 14: 86-93. PMID: 17068350, PMCID: PMC2215074, DOI: 10.1197/jamia.m2189.Peer-Reviewed Original ResearchConceptsBiomedical dataRelational database management systemRelational database technologySemantic data modelDatabase management systemRelational database enginePerformance of queriesHeterogeneous biomedical dataBiomedical informatics researchersDatabase engineDatabase technologyDatabase schemaData sparsityBioinformatics communityData modelInformatics researchersEvolution issuesTypes of dataManagement systemPerformance resultsRelational designClinical informaticsArchitecturePast approachesRelational techniques
1992
Prototyping an institutional IAIMS/UMLS information environment for an academic medical center.
Miller P, Paton J, Clyman J, Powsner S. Prototyping an institutional IAIMS/UMLS information environment for an academic medical center. Journal Of The Medical Library Association 1992, 80: 281-7. PMID: 1326371, PMCID: PMC225668.Peer-Reviewed Original ResearchConceptsIntegrated Academic Information Management SystemUnified Medical Language SystemInformation resourcesAcademic Information Management SystemInformation management systemInformation environmentNetwork-based implementationComputer networksInformation architectureMacintosh computerManagement systemInformation capabilitiesInformation sourcesLanguage systemIntegrated fashionPrototypeDiverse setNational LibraryResourcesCapabilityUsersComputerArchitectureEnvironmentNetworkFast Computation of Genetic Likelihoods on Human Pedigree Data
Goradia T, Lange K, Miller P, Nadkarni P. Fast Computation of Genetic Likelihoods on Human Pedigree Data. Human Heredity 1992, 42: 42-62. PMID: 1555846, DOI: 10.1159/000154045.Peer-Reviewed Original ResearchConceptsHuman pedigree dataNetwork of workstationsLarge-scale computationsHardware techniquesParallel machinesComputational speedDifferent architecturesLinkage problemFast computationVectorized versionComputationFast calculationLarge numberParallelizationSupercomputersVectorizationComplete phenotypingWorkstationsArchitectureGenetic likelihoodMachineNetworkVersionNew methodSubstantial improvement
1991
Real-time data fusion in the intensive care unit
Factor M, Gelernter D, Kolb C, Miller P, Sittig D. Real-time data fusion in the intensive care unit. Computer 1991, 24: 45-54. DOI: 10.1109/2.116850.Peer-Reviewed Original ResearchReal-time data fusionReal-time clinical decision support systemIntelligent Cardiovascular MonitorClinical decision support systemDecision support systemReal-time operationIssues of parallelismProcess trellisSoftware architectureData fusionCardiovascular monitorsParallelismArchitectureInterfaceTrellisVisualizationPatient statusFusionMonitor
1990
A parallel software architecture for building intelligent medical monitors
Factor M, Sittig D, Cohn A, Gelernter D, Miller P, Rosenbaum S. A parallel software architecture for building intelligent medical monitors. International Journal Of Clinical Monitoring And Computing 1990, 7: 117-128. PMID: 2373942, DOI: 10.1007/bf01724205.Peer-Reviewed Original ResearchConceptsParallel software architectureSoftware architectureParallel computing hardwareMedical monitorNumber of devicesProcess trellisParallel programmingApplication programmersHigh-level summaryIntelligent monitorComputing hardwarePerformance gainsParallel structureArchitectureData calculationSymbolic classificationCardiovascular monitorsProgrammersMonitorHardwareProgrammingPreliminary testingTrellisComplexityClassification