Ke Wang
Associate Research ScientistCards
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Research
Publications
2026
Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study
Liu Y, Wang K. Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study. JMIR Medical Informatics 2026, 14: e75862. DOI: 10.2196/75862.Peer-Reviewed Original ResearchMachine learning modelsInformation seekingFeature selectionMachine learningML modelsFeature selection methodAssociated with information seekingSecond-highest accuracySupport vector machineFeature-selection strategyCancer information seekingInformation-seeking behaviorHistory of cancerPrincipal component analysisVector machineInformation resourcesLinear kernelML toolsRelevant featuresSelection methodHealth-related videosUS adultsHealth Information National Trends SurveyAwareness of genetic testingArea under the receiver operating characteristic curveAssociations of COVID-19 history, substance use, and mental illness with mental health treatment utilization in the United States: age and gender differences
Zhao Y, Ategbole M, Lu Y, Wang K, Xu C. Associations of COVID-19 history, substance use, and mental illness with mental health treatment utilization in the United States: age and gender differences. Psychology Health & Medicine 2026, ahead-of-print: 1-20. PMID: 41995182, DOI: 10.1080/13548506.2026.2659694.Peer-Reviewed Original ResearchMental health treatment utilizationMental health treatmentE-cigarette useMultiple logistic regressionLong sleep durationPhysical activitySubstance useAlcohol useOlder adultsNational Health Interview SurveyOdds ratioE-cigarettesModerate physical activityHealth Interview SurveyMental health careSleep durationConfidence intervalsCurrent alcohol consumptionCigarette smokingMental health problemsPresence of anxietyGender-stratified analysesAge groupsAge-stratified analysesHigher educational attainmentPhenome-wide association study of P2RX7 identifies schizophrenia and mood disorders as primary associated phenotypes
Zhu L, Mao Q, Luo Z, Chen B, Zhang Y, Lu X, Liu P, Ji J, Wang X, Wang K, Pan X, Cao Y, Liu N, Zheng J, Wang F, Yang K, Yang F, Yu Z, Hu J, Luo J, Zuo L, Wang Z, Luo X, Guo X. Phenome-wide association study of P2RX7 identifies schizophrenia and mood disorders as primary associated phenotypes. Journal Of Affective Disorders 2026, 402: 121327. PMID: 41672153, DOI: 10.1016/j.jad.2026.121327.Peer-Reviewed Original ResearchConceptsGray matter volumeDisease-associated SNPsPhenome-wide association studyBipolar disorderEuropean AmericansFalse discovery rateNeuropsychiatric disordersBrain regionsP2RX7 mRNATrans-ancestry meta-analysisSubcortical gray matter volumesAssociated with bipolar disorderSNP-disease associationsDisease-risk variantsMultiple neuropsychiatric disordersCortical surface areaMeta-analysisRegulatory effectsAnxiety disordersTrans-ancestryDepressive disorderMajor depressionMood disordersMatter volumeProtein expressionMediating Variables Impacting Family Home Caregiving Burden and Caregivers’ Health Status: A Structural Equation Modeling Analysis
Piamjariyakul U, Carpenter R, Wang K, Smith C. Mediating Variables Impacting Family Home Caregiving Burden and Caregivers’ Health Status: A Structural Equation Modeling Analysis. Public Health Nursing 2026, 43: 266-277. PMID: 41510884, DOI: 10.1111/phn.70064.Peer-Reviewed Original ResearchConceptsCaregiver health statusCaregiver burdenCaregivers' senseHealth statusCare recipient’s health statusRecipient health statusIn-home careDiverse health conditionsSense of meaning in lifeCaregiver outcomesFamily caregiversCaregiver stressHealth outcomesHealthcare planningCaregiversHealth conditionsAging servicesPersonal healthMediator variablesStructural equation modelingStudy designSocial connectednessStructural equation modeling analysisFostering meaningNational databaseFactors Influencing Senior Practicum Readiness for Nursing Practice: A Descriptive Correlational Study.
Nease B, Corbett C, Armstrong S, Wang K, Casey K, Chen K. Factors Influencing Senior Practicum Readiness for Nursing Practice: A Descriptive Correlational Study. Journal Of Nursing Education 2026, 65: 39-46. PMID: 41537787, DOI: 10.3928/01484834-20250926-02.Peer-Reviewed Original ResearchConceptsNursing practiceSenior nursing students' perceptionsSelf-EfficacyNursing students' perceptionsDescriptive correlational studyClinical hour requirementsBachelor of ScienceNursing programsPractice readinessClinical hoursNursesDescriptive statisticsDemographic factorsDescriptive approachMultiple linear regressionPreceptorsPearson correlationHour requirementsRegression analysisLinear regressionCorrelational studyReadinessProgram differencesUnited StatesProgram
2025
Belongingness, self-efficacy, and clinical learning support as predictors of senior nursing student practice readiness: A structural equation modeling analysis
Nease E, Corbett C, Armstrong S, Wang K, Casey K, Chen K. Belongingness, self-efficacy, and clinical learning support as predictors of senior nursing student practice readiness: A structural equation modeling analysis. Nurse Education Today 2025, 106955. DOI: 10.1016/j.nedt.2025.106955.Peer-Reviewed Original ResearchLearning supportSelf-EfficacyPractice readinessStructural equation modelingClinical nursing educationSenior nursing studentsClinical learning environmentStructural equation modeling analysisCross-sectional surveyStudent learningLearning environmentBandura's theoryLearning factorsNursing educationNursing studentsReadinessLearningStudentsBelongingnessMultiple linear regressionEquation modelingLinear regressionSupportEducationSelfefficacyPredictors of Early Dental Care Recommendation: Insights from Demographic and Behavioral Factors
Li Y, Liu Y, Ogunmefun M, Wang K. Predictors of Early Dental Care Recommendation: Insights from Demographic and Behavioral Factors. Journal Of International Society Of Preventive And Community Dentistry 2025, 15: 528-536. PMID: 41536805, PMCID: PMC12799080, DOI: 10.4103/jispcd.jispcd_30_25.Peer-Reviewed Original ResearchNational Health and Nutrition Examination SurveyDiabetes statusDental careOdds ratioCare recommendationsEarly dental careOral health issuesHealth and Nutrition Examination SurveyOral health disparitiesRao-Scott chi-square testsConfidence intervalsAssociation of predictorsNutrition Examination SurveyChi-square testDental accessOral diseasesWeighted logistic regression modelsLogistic regression modelsCross-sectional analysisBlack raceExamination SurveyPublic health strategiesVisit recommendationsRao-ScottBehavioral factorsMediating effect of mood state on health-related quality of life among positive airway pressure users: Secondary analyses of Apnea Positive Pressure Long-term Efficacy Study data
Shapiro A, Abucevicz-Swick K, Wang K, Piamjariyakul U. Mediating effect of mood state on health-related quality of life among positive airway pressure users: Secondary analyses of Apnea Positive Pressure Long-term Efficacy Study data. Journal Of The American Association Of Nurse Practitioners 2025, 38: 180-190. PMID: 41081636, DOI: 10.1097/jxx.0000000000001208.Peer-Reviewed Original ResearchConceptsPositive airway pressureApnea Positive Pressure Long-term Efficacy StudyPositive airway pressure usersHealth-related quality of lifeHealth-related qualityQuality of lifeObstructive sleep apneaSecondary analysisGold standard therapyLong-term efficacy studiesSleep efficiencyMarital status-singleSleep apneaPAP useStandard therapyAirway pressureHealth-related quality of life predictorsHealth-related quality of life variablesBlack ethnicityMood statesEfficacy studiesSleep variablesApneaEffects of sleepinessUnveiling the Nexus Between the APOE Gene and Anxiety/Depression: A Comprehensive Review
Xu C, Gamez D, Miguel Saveron J, Guajardo E, Su B, Wang K. Unveiling the Nexus Between the APOE Gene and Anxiety/Depression: A Comprehensive Review. 2025, 255-278. DOI: 10.1007/978-3-031-73368-0_9.Peer-Reviewed Original ResearchApolipoprotein E geneApolipoprotein EApolipoprotein E e4Alzheimer's diseaseIdentification of genetic markersRisk of mental health disordersEnvironmental factorsPersonalized mental health careMental health careMental health treatmentMental health disordersGenetic markersPharmacogenomic approachEarly identificationApolipoprotein E gene variantHealth careHealth treatmentMental healthGene variantsHealth disordersNeurodegenerative disordersGenetic riskLipid metabolismGenesRisk factorsAn Exploratory Pharmacogenetic Pilot Study of Two Reverse Transcriptase Inhibitors, Tenofovir Alafenamide Fumarate and Tenofovir Disoproxil Fumarate
Murrell D, Kennard B, Bertoni M, Cluck D, Moorman J, Brown S, Wang K, Duffourc M, Harirforoosh S. An Exploratory Pharmacogenetic Pilot Study of Two Reverse Transcriptase Inhibitors, Tenofovir Alafenamide Fumarate and Tenofovir Disoproxil Fumarate. Drugs In R&D 2025, 25: 153-160. PMID: 40413716, PMCID: PMC12185805, DOI: 10.1007/s40268-025-00509-6.Peer-Reviewed Original ResearchConceptsTenofovir disoproxil fumarateSingle nucleotide polymorphismsDisoproxil fumarateHuman immunodeficiency virusReverse transcriptase inhibitorsTenofovir alafenamide fumarateMethodsThe study populationRegimen groupImmunodeficiency virusClinical parametersLaboratory monitoringTranscriptase inhibitorsTenofovirCaucasian maleStudy populationGenetic variationNucleotide polymorphismsProdrug formPilot studyFumarateIPLEXPatientsSubstudy
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