2022
Associations Between Vascular Diseases and Alzheimer’s Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer
Du X, Song L, Schulz P, Xu H, Chan W. Associations Between Vascular Diseases and Alzheimer’s Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer. Journal Of Alzheimer's Disease 2022, 90: 211-231. PMID: 36093703, PMCID: PMC9661325, DOI: 10.3233/jad-220548.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlzheimer DiseaseCohort StudiesColorectal NeoplasmsDementiaFemaleHumansHypertensionMaleMedicareRetrospective StudiesStrokeUnited StatesConceptsColorectal cancerVascular diseaseCardiovascular diseaseAlzheimer's diseaseRisk of ADSignificant dose-response relationshipRetrospective cohort studyCohort of patientsTypes of dementiaLong-term riskDose-response relationshipRisk of ADRDTumor factorsCohort studyCumulative incidenceOlder patientsLarge cohortPatientsRelated dementiaHypertensionCancerDiseaseDiabetesDementiaStrokeRecurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
Rasmy L, Nigo M, Kannadath B, Xie Z, Mao B, Patel K, Zhou Y, Zhang W, Ross A, Xu H, Zhi D. Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data. The Lancet Digital Health 2022, 4: e415-e425. PMID: 35466079, PMCID: PMC9023005, DOI: 10.1016/s2589-7500(22)00049-8.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19Electronic Health RecordsHospitalsHumansNeural Networks, ComputerRetrospective StudiesConceptsLight Gradient Boost MachineFeature engineeringGradient-boosting machineMultiple machine learning modelsElectronic health record dataNeural network-based modelReal-world datasetsRecurrent neural network modelComplex feature engineeringMachine learning modelsBinary classification taskSpecific feature selectionLogistic regression algorithmNeural network modelHealth record dataRecurrent neural network-based modelBinary classification modelNetwork-based modelTraditional machineExtensive data preprocessingHigh prediction accuracyMultiple external datasetsClassification taskData preprocessingFeature selection
2021
Nonselective beta‐blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States
Wijarnpreecha K, Li F, Xiang Y, Xu X, Zhu C, Maroufy V, Wang Q, Tao W, Dang Y, Pham H, Zhou Y, Li J, Zhang X, Xu H, Taner C, Yang L, Tao C. Nonselective beta‐blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States. Alimentary Pharmacology & Therapeutics 2021, 54: 481-492. PMID: 34224163, DOI: 10.1111/apt.16490.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsCarcinoma, HepatocellularHumansLiver CirrhosisLiver NeoplasmsRetrospective StudiesUnited StatesConceptsRisk of HCCBeta-blocker groupHepatocellular carcinomaCirrhotic patientsCerner Health Facts databaseCox proportional hazards regressionCumulative HCC incidenceRetrospective cohort studyHealth Facts databasePopulation-based studyProportional hazards regressionKaplan-Meier estimatesEligible patientsCohort studyHCC incidenceFinal cohortHazards regressionHCC riskLower riskPropensity scorePatientsCarvedilolRiskFacts databaseGroupLeveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality
Tortolero G, Brown M, Sharma S, de Oliveira Otto M, Yamal J, Aguilar D, Gunther M, Mofleh D, Harris R, John J, de Vries P, Ramphul R, Serbo D, Kiger J, Banerjee D, Bonvino N, Merchant A, Clifford W, Mikhail J, Xu H, Murphy R, Wei Q, Vahidy F, Morrison A, Boerwinkle E. Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality. PLOS ONE 2021, 16: e0247235. PMID: 34081724, PMCID: PMC8174716, DOI: 10.1371/journal.pone.0247235.Peer-Reviewed Original ResearchConceptsBody mass indexCOVID-19 patientsRisk factorsTobacco useCOVID-19 fatalitiesHealth information exchangeRace/ethnicityCOVID-19Laboratory risk factorsNumber of comorbiditiesCOVID-19 cohortMultivariable logistic regressionImportant risk factorPotential risk factorsCOVID-19 outcomesFormer tobacco usersTobacco use historyLarge health information exchangeMass indexElectronic health record systemsUnfavorable outcomeClinical dataTobacco usersOutcome analysisElectronic health information
2020
Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study
Xiang Y, Ji H, Zhou Y, Li F, Du J, Rasmy L, Wu S, Zheng W, Xu H, Zhi D, Zhang Y, Tao C. Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study. Journal Of Medical Internet Research 2020, 22: e16981. PMID: 32735224, PMCID: PMC7428917, DOI: 10.2196/16981.Peer-Reviewed Original ResearchMeSH KeywordsAsthmaDeep LearningDisease ProgressionFemaleHumansMaleNeural Networks, ComputerQuality of LifeRetrospective StudiesRisk AssessmentRisk FactorsConceptsAttentive Neural NetworkAsthma exacerbationsRisk factorsNeural networkAdvanced deep learning modelsClinical variablesDeep learning modelsCerner Health Facts databaseLarge electronic health recordNeural network modelRetrospective cohort studyHealth Facts databasePotential risk factorsRisk factor analysisPersonalized risk factorsElectronic health recordsBaseline methodsLearning modelPersonalized risk scoreProgressive asthmaAsthma symptomsEsophageal refluxAdult patientsCohort studyTime-Sensitive
2013
Opioid Use After Cardiac Surgery in Children With Down Syndrome*
Van Driest S, Shah A, Marshall M, Xu H, Smith A, McGregor T, Kannankeril J. Opioid Use After Cardiac Surgery in Children With Down Syndrome*. Pediatric Critical Care Medicine 2013, 14: 862-868. PMID: 23962833, PMCID: PMC3830692, DOI: 10.1097/pcc.0b013e31829f5d9d.Peer-Reviewed Original ResearchConceptsCardiac bypass timeCumulative opioid dosesOpioid dosesCardiac surgeryDown syndromeOpioid doseBypass timePeak serum creatinine valuesRetrospective observational comparative studyNonsteroidal anti-inflammatory drugsElectronic medical record dataAdditional operative proceduresLonger hospital staySerum creatinine valuesObservational comparative studyPediatric teaching hospitalNeuromuscular blocking agentsMedical record dataAnti-inflammatory drugsOpioid resistanceHospital stayOpioid exposureOpioid medicationsPain scoresLonger hospitalization