2020
Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort
Nguyen N, Luo J, Ohno-Machado L, Sandborn W, Singh S. Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort. Inflammatory Bowel Diseases 2020, 27: 1026-1034. PMID: 32944753, PMCID: PMC8205632, DOI: 10.1093/ibd/izaa238.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseFragmentation of careHigh riskCohort studyBowel diseaseNationwide Readmissions Database 2013Nationally Representative CohortUS cohort studyRisk of surgeryNumber of patientsRepresentative cohort studyHealth care qualityHospital mortalityHospitalized patientsCohort 2Outpatient careChronic diseasesCohort 1Representative cohortPatientsSingle episodeReadmissionHospitalizationCare qualityCare
2015
The differential associations of preexisting conditions with trauma-related outcomes in the presence of competing risks
Calvo R, Lindsay S, Edland S, Macera C, Wingard D, Ohno-Machado L, Sise M. The differential associations of preexisting conditions with trauma-related outcomes in the presence of competing risks. Injury 2015, 47: 677-684. PMID: 26684173, DOI: 10.1016/j.injury.2015.10.055.Peer-Reviewed Original ResearchConceptsPre-existing chronic conditionsOlder trauma patientsHospital mortalityTrauma patientsMortality riskHigh-risk groupLow-risk subgroupsLower mortality riskLonger HLOSHospital lengthMost patientsRisk patientsClinical outcomesLiver diseaseRetrospective studyTrauma populationTrauma-related outcomesRisk regressionChronic conditionsExcess mortalityParkinson's diseaseLevel ICare facilitiesPatientsClinical decision
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 ResearchMeSH KeywordsAccess to InformationAlgorithmsBreast NeoplasmsData MiningHumansLogistic ModelsMedical InformaticsPatient DischargePrivacyConceptsPrivate 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
Calibrating predictive model estimates to support personalized medicine
Jiang X, Osl M, Kim J, Ohno-Machado L. Calibrating predictive model estimates to support personalized medicine. Journal Of The American Medical Informatics Association 2012, 19: 263-274. PMID: 21984587, PMCID: PMC3277613, DOI: 10.1136/amiajnl-2011-000291.Peer-Reviewed Original ResearchMeSH KeywordsConfidence IntervalsHumansLogistic ModelsMathematical ConceptsModels, TheoreticalPatient DischargePrecision MedicineConceptsReal-world medical classification problemsMedical classification problemsClassification problemPredictive model estimatesComputational complexityACP algorithmIsotonic regressionPredictive modelTerms of areaImportant performance measuresCalibration methodAdaptive techniqueCalculation of CIsAdaptive calibrationSquared errorIndividual predictionsPerformance measuresFit testInformationNew calibration methodCurrent methods