2024
Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature
Xiao Y, Hou Y, Zhou H, Diallo G, Fiszman M, Wolfson J, Zhou L, Kilicoglu H, Chen Y, Su C, Xu H, Mantyh W, Zhang R. Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature. Scientific Reports 2024, 14: 8693. PMID: 38622164, PMCID: PMC11018822, DOI: 10.1038/s41598-024-58604-8.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseManual therapy techniquesR-GCNKnowledge graphAD preventionNon-pharmacological interventionsBiomedical literatureGraph convolutional network modelKG embedding modelsTest setLink prediction modelIntegrated healthConvolutional network modelImprove cognitive functionHighest scoring candidatesDomain expertsEmbedding modelNon-pharmaceutical interventionsReal-world data analysisGround truthPrevent ADCognitive functionTherapy techniquesNetwork modelDiscovery patterns
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 ResearchMeSH KeywordsAlzheimer DiseaseBiomarkersDocumentationElectronic Health RecordsHumansNatural Language ProcessingConceptsElectronic 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 dementiaHypertensionCancerDiseaseDiabetesDementiaStrokeRisk 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
2012
Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks
Han B, Chen X, Talebizadeh Z, Xu H. Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks. BMC Systems Biology 2012, 6: s14. PMID: 23281790, PMCID: PMC3524021, DOI: 10.1186/1752-0509-6-s3-s14.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAlzheimer DiseaseArtificial IntelligenceAutistic DisorderBayes TheoremComputational BiologyComputer SimulationDatabases, GeneticEpistasis, GeneticGenome-Wide Association StudyHumansMacular DegenerationMarkov ChainsModels, GeneticMonte Carlo MethodPolymorphism, Single NucleotideConceptsEpistatic interaction detectionBayesian network structure learning methodTwo-layer Bayesian networkBayesian network-based methodBayesian networkInteraction detectionMarkov chain Monte Carlo methodsStructure learning methodReal disease dataNetwork-based methodReal GWAS datasetMonte Carlo methodHigh-order epistatic interactionsMachine learningSearch spaceLearning methodsDisease datasetCarlo methodTarget nodeModel complexityStatistical methodsReal dataNew scoring functionComplex human diseasesDataset