2019
Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN)
Wang X, Mukherjee B, Batterman S, Harlow S, Park S. Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN). International Journal Of Hygiene And Environmental Health 2019, 222: 778-789. PMID: 31103473, PMCID: PMC6583796, DOI: 10.1016/j.ijheh.2019.05.002.Peer-Reviewed Original ResearchConceptsMultiple metalsMetal mixturesExposure to multiple metalsExposure patternsConcentrations of metalsExposure to metalsConsumption of seafoodHigh-resolution inductively coupled plasma mass spectrometryInductively coupled plasma mass spectrometryMeasured urinary concentrationsGeometric mean concentrationsMetal exposurePlasma mass spectrometrySeafood intakeUrinary metalsMean concentrationsRice intakeSeafoodUrinary concentrationsDetectable concentrationHigher exposuresGeographical characteristicsMercuryLead levelsMetal
2018
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering
Tang M, Gao C, Goutman S, Kalinin A, Mukherjee B, Guan Y, Dinov I. Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics 2018, 17: 407-421. PMID: 30460455, PMCID: PMC6527505, DOI: 10.1007/s12021-018-9406-9.Peer-Reviewed Original ResearchConceptsAmyotrophic Lateral Sclerosis Functional Rating ScaleClusters of participantsModel-basedAmyotrophic lateral sclerosisRating ScaleComputable phenotypeFunctional Rating ScaleSets of featuresUnsupervised clusteringUnsupervised machine learning methodsClinical decision supportMachine learning methods
2016
Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction
Ko Y, Mukherjee B, Smith J, Kardia S, Allison M, Roux A. Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction. Epidemiology 2016, 27: 870-878. PMID: 27479650, PMCID: PMC5039086, DOI: 10.1097/ede.0000000000000548.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAtherosclerosisBayes TheoremCluster AnalysisData Interpretation, StatisticalEnvironmental ExposureEpidemiologic Research DesignFemaleFollow-Up StudiesGene-Environment InteractionGenetic Predisposition to DiseaseHumansMiddle AgedModels, StatisticalRegression AnalysisRisk FactorsConceptsMultiple environmental exposuresGene-environment interactionsG x EEnvironmental exposuresMultiethnic Study of AtherosclerosisStudy of AtherosclerosisGene-environmentEffect modificationMultiethnic StudyEnvironmental factorsExposure subgroupsEnvironmental exposure profilesMain effectExposure profilesE studyEfficient analysis strategyE analysisMultiple environmental factorsSubgroupsAnalysis strategyFactorsExposureProduct terms