grant
Characterizing gastrointestinal disorder trajectories for autistic sub-groups: Machine learning prediction of risk profiles and response to treatment
Organization UNIVERSITY OF SOUTHERN CALIFORNIALocation Los Angeles, UNITED STATESPosted 1 Aug 2024Deadline 30 Apr 2029
NIHUS FederalResearch GrantFY20250-11 years oldASDASD communityAccident and Emergency departmentAddressAdvocacyAgeAge of OnsetAlternative HealthAutismAutistic DisorderBehavioralBehavioral SymptomsCare GiversCaregiversCaringChildChild YouthChildren (0-21)Children's HospitalClinicalClinical DataClinical TreatmentCodeCoding SystemCollaborationsDataData CollectionData SetDecrease disparityDiagnosisDiagnosticDietDreamsED careER careEarly Infantile AutismElectronic Health RecordEmergency CareEmergency DepartmentEmergency Department careEmergency Room careEmergency health careEmergency medical careEmergency roomEquityFamilyFutureGastrointestinal DiseasesHealthHealth Care UtilizationHealth Services EvaluationHealth Services ResearchInfantile AutismInterventionInterviewKanner's SyndromeKnowledgeLabelLifeLived experienceLived experiencesLos AngelesLower disparityMachine LearningMeasuresMedical Care ResearchMental HealthMental HygieneMethodsNatural Language ProcessingNon-Prescription DrugsNonprescription DrugsOTC DrugsOver-the-Counter DrugsParentsPatent MedicinesPediatric HospitalsPopulationPredicting RiskPredictive FactorPrevalenceProceduresPsychological HealthQOLQuality of lifeReportingResearchResearch MethodologyResearch MethodsReview LiteratureRiskRisk AssessmentServicesSleepSpecialtySubgroupSymptomsTimeWorkYouthYouth 10-21adolescent with ASDadolescent with autismadolescent with autism spectrum disorderadolescents on the autism spectrumadult with ASDadult with autismadult with autism spectrum disorderadults on the autism spectrumadults on the spectrumagesanalyzing longitudinalautism communityautism spectral disorderautism spectrum disorderautism spectrum disorder communityautisticautistic adolescentautistic adultautistic childrenautistic individualsautistic peopleautistic spectrum disorderautistic youthchildren on the autism spectrumchildren with ASDchildren with autismchildren with autism spectrum disorderclinical interventionclinical therapycohortcommunity advisory boardcommunity advisory committeecommunity advisory paneldietsdisparity reductionelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordexperienceforecasting riskgastrointestinalgastrointestinal disordergastrointestinal symptomhealth care service usehealth care service utilizationhigh riskimprovedindexingindividuals on the autism spectrumindividuals on the spectrumindividuals with ASDindividuals with autismindividuals with autism spectrum disorderkidslife spanlifespanlongitudinal analysismachine based learningmachine learning based prediction modelmachine learning based predictive modelmachine learning predictionmachine learning prediction modelmedical specialtiesmitigate disparitynatural language understandingparentpeople on the autism spectrumpeople with ASDpeople with autismpeople with autism spectrum disorderperson centeredpersonalization of treatmentpersonalized medicinepersonalized therapypersonalized treatmentphysical conditioningphysical healthpredict responsivenesspredict riskpredict riskspredicted riskpredicted riskspredicting responsepredicting riskspredictive riskpredicts riskreduce disparityreduction in disparityresearch and methodsresponseresponse to therapyresponse to treatmentrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsservices researchsexsocialsocio-demographicssociodemographicsstandard of carestructured datatherapeutic responsetherapy responsetreatment responsetreatment responsivenesstrial regimentrial treatmentunstructured datayoungsteryouth ageyouth on the autism spectrumyouth with ASDyouth with autismyouth with autism spectrum disorder
Description preview
PROJECT SUMMARY/ABSTRACT
Gastrointestinal (GI) problems are one of the most common concerns reported by families of autistic children
and youth and can have significant lifelong impacts on health, quality of life, and participation. Existing
research, however, primarily relies on parent report and is cross-sectional, leaving a gap in our…
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