2024
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data
He X, Wei R, Huang Y, Chen Z, Lyu T, Bost S, Tong J, Li L, Zhou Y, Li Z, Guo J, Tang H, Wang F, DeKosky S, Xu H, Chen Y, Zhang R, Xu J, Guo Y, Wu Y, Bian J. Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data. Alzheimer's & Dementia Diagnosis Assessment & Disease Monitoring 2024, 16: e12613. PMID: 38966622, PMCID: PMC11220631, DOI: 10.1002/dad2.12613.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsComputable phenotypeHealth record dataManual chart reviewHealth recordsAlzheimer's diseaseDiagnosis codesRecord dataChart reviewUTHealthAlzheimer's disease patientsUniversity of MinnesotaAD diagnosisAD identificationDisease patientsPatientsAlzheimerAD patientsDemographicsDiagnosisDiseaseCodeDataUniversity
2022
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias
Chen Z, Zhang H, Yang X, Wu S, He X, Xu J, Guo J, Prosperi M, Wang F, Xu H, Chen Y, Hu H, DeKosky S, Farrer M, Guo Y, Wu Y, Bian J. Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias. International Journal Of Medical Informatics 2022, 170: 104973. PMID: 36577203, PMCID: PMC11325083, DOI: 10.1016/j.ijmedinf.2022.104973.Peer-Reviewed Original ResearchConceptsElectronic health recordsPatients' electronic health recordsCognitive testsCognitive test scoresFlorida health systemSeverity categoriesHealth recordsAD-related dementiaAD/ADRD researchAD/ADRDPatient levelAlzheimer's diseaseClinical narrativesHealth systemBiomarkersDifferent severityDiseaseSeverityPatientsADRD researchStandardized approachDementiaTest scoresPopulation characteristicsScoresAssociations 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 ResearchConceptsColorectal 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 dementiaHypertensionCancerDiseaseDiabetesDementiaStrokeFactors Associated With COVID-19 Death in the United States: Cohort Study
Chen U, Xu H, Krause T, Greenberg R, Dong X, Jiang X. Factors Associated With COVID-19 Death in the United States: Cohort Study. JMIR Public Health And Surveillance 2022, 8: e29343. PMID: 35377319, PMCID: PMC9132142, DOI: 10.2196/29343.Peer-Reviewed Original ResearchConceptsCOVID-19-related deathsCohort studyPatient characteristicsElectronic health record data setsLarge national cohort studyNational cohort studyChronic respiratory diseasesProportional hazards modelCOVID-19COVID-19 deathsImmunosuppressive conditionsKidney functionMale sexLung cancerCOVID-19 casesRecent diagnosisRisk factorsRespiratory diseaseCardiac diseaseOrgan transplantsHigh incidenceHazards modelNeurological diseasesOlder ageDiseaseRisk of Developing Alzheimer’s Disease and Related Dementias in Association with Cardiovascular Disease, Stroke, Hypertension, and Diabetes in a Large Cohort of Women with Breast Cancer and with up to 26 Years of Follow-Up
Du X, Song L, Schulz P, Xu H, Chan W. Risk of Developing Alzheimer’s Disease and Related Dementias in Association with Cardiovascular Disease, Stroke, Hypertension, and Diabetes in a Large Cohort of Women with Breast Cancer and with up to 26 Years of Follow-Up. Journal Of Alzheimer's Disease 2022, 87: 415-432. PMID: 35311707, PMCID: PMC9117151, DOI: 10.3233/jad-215657.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseBreast cancerAsian/Pacific IslandersHigh riskAlzheimer's diseaseRisk of ADRDCumulative incidenceWhite womenLong-term incidencePacific IslandersBlack womenVascular diseaseHypertensionLarge cohortLower riskDiabetesRelated dementiaStrokeCancerDiseaseADRDCancer diagnosisWomenIncidenceRisk
2018
Analysis of treatment pathways for three chronic diseases using OMOP CDM
Zhang X, Wang L, Miao S, Xu H, Yin Y, Zhu Y, Dai Z, Shan T, Jing S, Wang J, Zhang X, Huang Z, Wang Z, Guo J, Liu Y. Analysis of treatment pathways for three chronic diseases using OMOP CDM. Journal Of Medical Systems 2018, 42: 260. PMID: 30421323, PMCID: PMC6244882, DOI: 10.1007/s10916-018-1076-5.Peer-Reviewed Original ResearchConceptsTreatment pathwaysChronic diseasesStudy of drugsClinical data repositoryClinical treatmentDifferent medical institutionsProportion of monotherapyFirst-line medicationMedical institutionsFirst Affiliated HospitalType 2 diabetesNanjing Medical UniversityDifferent treatment pathwaysMost patientsCommon medicationsAffiliated HospitalMedicationsNational guidelinesMedication informationLocal hospitalMedical UniversitySame diseaseDiseasePatientsNew drugs
2017
Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge
Zhang Y, Zhang O, Wu Y, Lee H, Xu J, Xu H, Roberts K. Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge. Journal Of Biomedical Informatics 2017, 75: s129-s137. PMID: 28624644, PMCID: PMC5705397, DOI: 10.1016/j.jbi.2017.06.014.Peer-Reviewed Original ResearchConceptsPsychiatric symptomsCandidate symptomMental disordersPsychiatric notesList of symptomsMayo ClinicClinical dataSymptom recognitionPatient experiencePersonalized preventionSymptomsAmerican Psychiatric AssociationAbstractTextClinical conceptsPsychiatric AssociationPhenotypic classificationDisordersClinical textMIMIC-IIHealthcare knowledgeConclusionSubjective descriptionsClinicDiseaseDiagnosis
2015
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2
Stubbs A, Kotfila C, Xu H, Uzuner Ö. Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. Journal Of Biomedical Informatics 2015, 58: s67-s77. PMID: 26210362, PMCID: PMC4978189, DOI: 10.1016/j.jbi.2015.07.001.Peer-Reviewed Original ResearchMeSH KeywordsAgedBostonCohort StudiesComorbidityComputer SecurityConfidentialityCoronary Artery DiseaseData MiningDiabetes ComplicationsElectronic Health RecordsFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedNarrationNatural Language ProcessingPattern Recognition, AutomatedRisk AssessmentVocabulary, ControlledConceptsCoronary artery diseaseRisk factorsLongitudinal medical recordsMedical recordsMedical risk factorsArtery diseaseDiabetic patientsSmoking statusHeart diseaseFamily historyI2b2/UTHealth natural language processingDiseaseI2b2/UTHealthProgressionUTHealthHypertensionHyperlipidemiaFactorsObesityDiabetesPatients
2010
Comparing content coverage in medical curriculum to trainee-authored clinical notes.
Denny J, Speltz P, Maddox R, Stein G, Xu H, Spickard A. Comparing content coverage in medical curriculum to trainee-authored clinical notes. AMIA Annual Symposium Proceedings 2010, 2010: 157-61. PMID: 21346960, PMCID: PMC3041398.Peer-Reviewed Original ResearchMining Biomedical Literature for Terms related to Epidemiologic Exposures.
Xu H, Lu Y, Jiang M, Liu M, Denny J, Dai Q, Peterson N. Mining Biomedical Literature for Terms related to Epidemiologic Exposures. AMIA Annual Symposium Proceedings 2010, 2010: 897-901. PMID: 21347108, PMCID: PMC3041399.Peer-Reviewed Original Research