grant
Machine Learning Prediction of Persistent Adverse Mental Health Outcomes for Autistic Children: Leveraging Social Determinants of Health from Clinical Data
Organization UNIVERSITY OF SOUTHERN CALIFORNIALocation Los Angeles, UNITED STATESPosted 19 Sept 2025Deadline 31 Jul 2030
NIHUS FederalResearch GrantFY2025ASDAccess to CareAddressAdministratorAgeAntipsychotic AgentsAntipsychotic DrugsAntipsychoticsAreaAutismAutistic DisorderCare GiversCaregiversCaringCensusesCharacteristicsChildren's HospitalClinicalClinical DataDataData ScienceData SetDecrease disparityED visitER visitEarly Infantile AutismElectronic Health RecordEmergency care visitEmergency department visitEmergency hospital visitEmergency room visitEquityEthnic OriginEthnicityFinancial HardshipFloridaHealthHealth Services AccessibilityHealth Services EvaluationHealth Services ResearchHealth systemIndividualInfantile AutismInformaticsInpatientsInterviewInvestigatorsKanner's SyndromeLinkLived experienceLived experiencesLos AngelesLower disparityMachine LearningMajor TranquilizersMajor Tranquilizing AgentsMedical Care ResearchMental HealthMental Health ServicesMental HygieneMental Hygiene ServicesMethodsModelingNLP pipelineNatural Language ProcessingNatural Language Processing pipelineNeuroleptic AgentsNeuroleptic DrugsNeurolepticsOutcomePatient CarePatient Care DeliveryPatientsPediatric HospitalsPerformancePopulationPredicting RiskPredictive FactorPreventionProblem SolvingProxyPsychoactive AgentsPsychoactive CompoundPsychoactive DrugsPsychological HealthPsychopharmaceuticalsPsychotropic DrugsRaceRacesRecordsRecoveryRecurrenceRecurrentResearchResearch PersonnelResearchersRiskServicesSiteStructureSubgroupSuggestionTimeTransportationUniversitiesVulnerable PopulationsWorkaccess to health servicesaccess to servicesaccess to treatmentaccessibility to health servicesadolescent 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 spectrumagesautism spectral disorderautism spectrum disorderautisticautistic adolescentautistic adultautistic childrenautistic spectrum disorderautistic youthavailability of servicescare accesscare for patientscare of patientscaring for patientschildren on the autism spectrumchildren with ASDchildren with autismchildren with autism spectrum disorderclinical applicabilityclinical applicationclinical careclinical practicecommunity advisory boardcommunity advisory committeecommunity advisory panelcomputer based predictiondesigndesigningdisparities in racedisparity due to racedisparity in ethnicdisparity reductionelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordethnic based disparityethnic disadvantageethnic disparityethnic inequalityethnic inequityethnicity disparityfinancial adversityfinancial burdenfinancial distressfinancial insecurityfinancial strainfinancial stressfood desertforecasting riskhealth service accesshealth services availabilityhigh riskimprovedindexinginequality due to raceinequity due to raceinpatient psychiatric careinpatient psychiatric treatmentmachine based learningmachine learning based prediction modelmachine learning based predictive modelmachine learning predictionmachine learning prediction modelmental health caremitigate disparitynatural language understandingphysical conditioningphysical healthpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive modelingpredictive riskpredicts riskpsychiatric hospitalizationrace based disparityrace based inequalityrace based inequityrace disparityrace related disparityrace related inequalityrace related inequityracialracial backgroundracial disparityracial inequalityracial inequityracial originracially unequalreduce disparityreduction in disparityresponserisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsservice availabilityservices researchsocial factorssocial health determinantssocial vulnerabilitytreatment accessvulnerable groupvulnerable individualvulnerable peopleyouth on the autism spectrumyouth with ASDyouth with autismyouth with autism spectrum disorder
Description preview
PROJECT SUMMARY/ABSTRACT
Autistic children and youth have high utilization of emergency department visits and inpatient stays for
psychiatric indication. There is a need to understand who is at the greatest risk for adverse mental health
outcomes in order to tailor prevention efforts. However, autism research to date has rarely incorporated social…
🔒
Start 7-day free trial — $29.99/mo →Full details available on the Agency plan
Unlock the complete grant description, eligibility criteria, contract value, evaluation details and apply link — plus alerts, pipeline tracking, and CSV export.
Agency Plan
7-day free trialUnlock procurement & grants
Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.
$29.99 / month
- 🔔Email alerts for new matching tenders
- 🗂️Track tenders in your pipeline
- 💰Filter by contract value
- 📥Export results to CSV
- 📌Save searches with one click