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Improving risk prediction of adverse outcomes in hemodialysis patients by incorporating non-traditional risk factors
Organization ICAHN SCHOOL OF MEDICINE AT MOUNT SINAILocation NEW YORK, UNITED STATESPosted 15 Jan 2021Deadline 30 Nov 2025 ⚠️
NIHUS FederalResearch GrantFY2025Active Follow-upAdvisory CommitteesAffectAgeAlcohol abuseAlgorithmsAppointmentAreaAwardBig DataBigDataBioinformaticsBiometricsBiometryBiostatisticsBlood VesselsCareer Development AwardsCareer Development Awards and ProgramsCareer Development Programs K-SeriesCaringCategoriesCenters for Disease ControlCenters for Disease Control and PreventionCenters for Disease Control and Prevention (U.S.)ChronicChronic DiseaseChronic IllnessClassificationClinicalClinical InvestigatorClinical ResearchClinical StudyCocaCodeCoding SystemCommunitiesComplexComputer softwareComputing MethodologiesConsumptionDataData AnalysesData AnalysisData ElementData ReportingData SetDiagnosisDrugsESKDESRDEconomicsEducationEducational aspectsElectronic Health RecordEnd stage renal failureEnd-Stage Kidney DiseaseEnd-Stage Renal DiseaseEnvironmentErythroxylonEtOH abuseFacultyFamilyFoundationsFundingFutureGoalsHealthHealth CareHealth Care ProvidersHealth PersonnelHealth systemHemodialysesHemodialysisHospital AdmissionHospitalizationICD CodeInternational Classification of Disease CodesInterventionIntervention TrialInterventional trialInvestigatorsK-AwardsK-Series Research Career ProgramsKidneyKidney DiseasesKidney Urinary SystemKnowledgeLeadLinkLiteratureMachine LearningMaintenanceManualsMapsMedicalMedicationMedicineMentorsMethodologyModelingMorbidityMorbidity - disease rateNatural Language ProcessingNeighborhoodsNephrologyNephropathyNew York CityOutcomePatient CarePatient Care DeliveryPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPb elementPerformancePharmaceutical PreparationsPolypharmacyPopulationPredicting RiskProcessPsychosocial EffectPsychosocial FactorQOLQuality of lifeReference StandardsRenal DiseaseResearchResearch Career ProgramResearch InstituteResearch MethodologyResearch MethodsResearch PersonnelResearch ResourcesResearchersResourcesRiskRisk FactorsSelf CareSensitivity and SpecificitySerum AlbuminSocial supportSoftwareStandardizationStatistical MethodsSubstance abuse problemSurvey InstrumentSurveysSymptomsSystematicsTask ForcesTechniquesTechnologyTestingTextTimeTrainingTreatment/Psychosocial EffectsUnited States Centers for Disease ControlUnited States Centers for Disease Control and PreventionWorkabuse of substancesaccess to health careaccess to transportationaccessibility of health careaccessibility to health careactive followupadverse consequenceadverse outcomeadvisory teamagesalcohol co-abusealcohol problemassociate facultyassociate professorbuilt environmentcare for patientscare of patientscareer developmentcaring for patientschronic disordercohortcomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methoddata interpretationdata representationdata representationsdata standardizationdata standardsdiscrete datadrug/agenteconomicelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordelectronic structureethanol abuseexperiencefollow upfollow-upfollowed upfollowupforecasting riskhazardous alcohol usehealth care accesshealth care availabilityhealth care personnelhealth care service accesshealth care service availabilityhealth care workerhealth datahealth providerhealth workforceheavy metal Pbheavy metal leadhigh dimensional datahigh riskhigh risk grouphigh risk individualhigh risk peoplehigh risk populationhospital re-admissionhospital readmissionhospitalization ratesimprovedindividual patientkidney disordermachine based learningmachine learning based methodmachine learning based modelmachine learning methodmachine learning methodologiesmachine learning modelmedical collegemedical personnelmedical schoolsmembermid-career facultymidcareer facultymortalitymultidimensional datamultidimensional datasetsmultidisciplinarynatural language understandingnovelpatient oriented outcomespersonal carepoor health outcomepredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskproblem alcohol useproblem drinkingproblematic alcohol consumptionproblematic alcohol useprofessorprospectivepsychosocial variablesre-admissionre-hospitalizationreadmissionreduced health outcomerehospitalizationrenalrenal disorderresearch and methodsrisk mitigationrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsrisk stratificationschool of medicinesocialsocial health determinantssocial relationshipssocial support networkstandard measurestatistic methodsstratify risksubstance abusetooltransportation accesstreatment providervalidation studiesvascularworse health outcome
Applications closed.
Description preview
PROJECT SUMMARY:
Candidate: The primary objective of this application is to support Dr. Lili Chan's career development into an
independently funded clinical investigator leveraging electronic health records (EHR) and improve risk
prediction of adverse outcomes in patients on hemodialysis (HD) by incorporating social determinants of
health. To…
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