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 dementiaHypertensionCancerDiseaseDiabetesDementiaStroke
2017
Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer
Wang H, Luo J, Liu C, Niu H, Wang J, Liu Q, Zhao Z, Xu H, Ding Y, Sun J, Zhang Q. Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer. BMC Bioinformatics 2017, 18: 388. PMID: 28865443, PMCID: PMC5581471, DOI: 10.1186/s12859-017-1796-4.Peer-Reviewed Original Research
2015
Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer
Zhang Y, Franzini L, Chan W, Xu H, Du X. Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer. Journal Of Health Care For The Poor And Underserved 2015, 26: 1336-1358. PMID: 26548682, DOI: 10.1353/hpu.2015.0119.Peer-Reviewed Original ResearchConceptsRisk of mortalityColorectal cancerTumor stagePrivate health insuranceCancer patientsHealth insuranceCancer-directed surgeryColorectal cancer patientsTexas Cancer RegistryInsurance coverageAdditional private health insuranceBreast cancer patientsHealth insurance statusHealth insurance coverageOverall survivalCancer RegistryInsurance statusBreast cancerLarge cohortHigh riskMedicare beneficiariesPatientsCancerChemotherapySurgeryTrends and variations in breast and colorectal cancer incidence from 1995 to 2011: A comparative study between Texas Cancer Registry and National Cancer Institute’s Surveillance, Epidemiology and End Results data
LIU Z, ZHANG Y, FRANZIN L, CORMIER J, CHAN W, XU H, DU X. Trends and variations in breast and colorectal cancer incidence from 1995 to 2011: A comparative study between Texas Cancer Registry and National Cancer Institute’s Surveillance, Epidemiology and End Results data. International Journal Of Oncology 2015, 46: 1819-1826. PMID: 25672365, PMCID: PMC4356494, DOI: 10.3892/ijo.2015.2881.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedBreast NeoplasmsColorectal NeoplasmsFemaleHumansIncidenceMaleMiddle AgedSEER ProgramSex FactorsTexasTime FactorsUnited StatesConceptsColorectal cancer incidenceNational Cancer Institute's SurveillanceTexas Cancer RegistryBreast cancer incidenceCancer incidenceCancer RegistryAge-adjusted breast cancer incidenceColorectal cancer patientsEnd Results (SEER) dataSEER areasColorectal cancerCancer patientsIncidence rateRelative riskIncidenceBreastRegistrySurveillanceEpidemiologySEERResult dataTemporal trendsEnd resultPatientsParallel comparisonColorectal cancer drug target prediction using ontology-based inference and network analysis
Tao C, Sun J, Zheng W, Chen J, Xu H. Colorectal cancer drug target prediction using ontology-based inference and network analysis. Database 2015, 2015: bav015. PMID: 25818893, PMCID: PMC4375358, DOI: 10.1093/database/bav015.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsColorectal NeoplasmsDatabases, FactualDrug Delivery SystemsDrug DesignHumansNeoplasm ProteinsConceptsColorectal cancer
2011
Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.
Xu H, Fu Z, Shah A, Chen Y, Peterson N, Chen Q, Mani S, Levy M, Dai Q, Denny J. Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. AMIA Annual Symposium Proceedings 2011, 2011: 1564-72. PMID: 22195222, PMCID: PMC3243156.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceColorectal NeoplasmsData MiningElectronic Health RecordsHumansNatural Language ProcessingConceptsEntire electronic health recordElectronic health recordsNatural language processingHealth recordsStructured EHR dataMachine learningText dataNarrative text dataF-measureLanguage processingClinical narrativesEHR dataSuch tasksColorectal cancerDetection methodConcept identificationCohort of patientsColorectal cancer casesVanderbilt University HospitalCase detection methodsClinical notesCRC patientsCRC casesUniversity HospitalCancer cases
2009
Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records.
Denny J, Peterson J, Choma N, Xu H, Miller R, Bastarache L, Peterson N. Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records. AMIA Annual Symposium Proceedings 2009, 2009: 141. PMID: 20351837, PMCID: PMC2815478.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsColonoscopyColorectal NeoplasmsEarly Detection of CancerElectronic Health RecordsHumansNatural Language ProcessingTime FactorsConceptsNatural language processingNatural language processing systemsElectronic medical recordsLanguage processing systemNLP systemsIdentifier systemLanguage processingMedical recordsProcessing systemElectronic textsColorectal cancer screening ratesCancer screening ratesPrimary care populationColonoscopy testingScreening ratesCare populationBilling codesQueriesColonoscopySystemStatus indicatorsAlgorithmCodeProcessingStatus