2023
Identifying suicide documentation in clinical notes through zero‐shot learning
Workman T, Goulet J, Brandt C, Warren A, Eleazer J, Skanderson M, Lindemann L, Blosnich J, O'Leary J, Zeng‐Treitler Q. Identifying suicide documentation in clinical notes through zero‐shot learning. Health Science Reports 2023, 6: e1526. PMID: 37706016, PMCID: PMC10495736, DOI: 10.1002/hsr2.1526.Peer-Reviewed Original ResearchZero-shot learningDeep neural networksTraining dataNeural networkZero-shot learning modelData sparsity issueIdentical training dataTrue positive instancesClinical notesDeep learningDocument contentSparsity issueManual annotationTarget labelsLearning modelSemantic spaceTraining samplesPositive instancesWord featuresTraining casesBaseline modelAuxiliary informationTerms of areaLearningProbability threshold
2020
Integrative statistical methods for exposure mixtures and health
Reich BJ, Guan Y, Fourches D, Warren JL, Sarnat SE, Chang HH. Integrative statistical methods for exposure mixtures and health. The Annals Of Applied Statistics 2020, 14: 1945-1963. PMID: 35284031, PMCID: PMC8914338, DOI: 10.1214/20-aoas1364.Peer-Reviewed Original ResearchIntegrative statistical methodsStatistical methodsAuxiliary informationFlexible Bayesian modelInnovative statistical toolsPrior distributionVolatile organic compoundsStatistical toolsBayesian modelOrganic compoundsInterpretable modelsSpectrum of analysisRole of mixturesEmergency room visitsChemical mixturesDiverse chemicalsMixture constituentsNew methodRoom visitsMixtureEnvironmental epidemiologyMeasured exposureChemicalsAdverse health outcomesToxicological data
2014
Differentially private distributed logistic regression using private and public data
Ji Z, Jiang X, Wang S, Xiong L, Ohno-Machado L. Differentially private distributed logistic regression using private and public data. BMC Medical Genomics 2014, 7: s14. PMID: 25079786, PMCID: PMC4101668, DOI: 10.1186/1755-8794-7-s1-s14.Peer-Reviewed Original ResearchConceptsPrivate dataDifferential privacyPublic datasetsPublic dataRigorous privacy guaranteeData privacy researchPrivate data setsData mining modelsData setsProvable privacyPrivacy guaranteesMining modelPrivacy researchDifferent data setsArt frameworksMedical informaticsPrivacyAmount of noisePrivate methodsAuxiliary informationBetter utilityNew algorithmUpdate stepAvailable public dataAlgorithm
2012
Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches
Boonstra P, Taylor J, Mukherjee B. Incorporating auxiliary information for improved prediction in high-dimensional datasets: an ensemble of shrinkage approaches. Biostatistics 2012, 14: 259-272. PMID: 23087411, PMCID: PMC3590922, DOI: 10.1093/biostatistics/kxs036.Peer-Reviewed Original ResearchConceptsHigh-dimensional datasetsAuxiliary informationRidge estimatorBayesian alternativeOutcome YSimulation studyEstimates of BShrinkage approachBiological processesRidge regressionGene expression datasetsDatasetGenomic technologiesMicroarray technologyOptimal choiceBalance efficiencyX.EstimationPrediction errorPolymerase chain reactionBiological phenomenaInformationTechnologyQuantitative real-time polymerase chain reaction
2011
The use of complete-case and multiple imputation-based analyses in molecular epidemiology studies that assess interaction effects
Desai M, Esserman DA, Gammon MD, Terry MB. The use of complete-case and multiple imputation-based analyses in molecular epidemiology studies that assess interaction effects. Epidemiologic Perspectives & Innovations 2011, 8: 1-17. PMID: 21978450, PMCID: PMC3217865, DOI: 10.1186/1742-5573-8-5.Peer-Reviewed Original Research
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