2025
"Show Your Mind": Unveiling User Experience on an AI-based Mental Health Assessment System with Symptom-based Evidences
Won H, Kang M, Kim M, Lee D, Choi H, Kim Y, Choi D, Ko M, Han J. "Show Your Mind": Unveiling User Experience on an AI-based Mental Health Assessment System with Symptom-based Evidences. 2025, 1-11. DOI: 10.1145/3706599.3719735.Peer-Reviewed Original ResearchUser experienceMental health assessment systemUser-generated textNatural language processingUsers' understandingLanguage processingUsage intentionUsersHealth assessment systemMental healthAssessment systemModel accuracyMental health conditionsWithin-subject studyEarly-stage evaluationDetect mental health conditionsHealth conditionsSocial stigmaSymptom-based approachAnonymitySystemPrivacy in population protocols with probabilistic scheduling
Amir T, Aspnes J. Privacy in population protocols with probabilistic scheduling. Theoretical Computer Science 2025, 1024: 114926. DOI: 10.1016/j.tcs.2024.114926.Peer-Reviewed Original ResearchPopulation protocol modelProtocol modelProbabilistic schedulingInformation-theoreticInput vectorAnalyze distributed algorithmsDefinition of privacyConcept of anonymityIssues of privacyIoT devicesSensor networksMobile agentsAgents' inputsPopulation protocolsPrivacyAlgorithmIoTSchedulingDeniabilityProtocolInputGuaranteesAnonymityDronesVector
2020
Perceived Value of Using a Digital Tool to Screen for Elder Mistreatment in the Emergency Department
Abujarad F, Gill T, Pantalon M, Jubanyik K, Dziura J, D’Onofrio G, Choo E. Perceived Value of Using a Digital Tool to Screen for Elder Mistreatment in the Emergency Department. Innovation In Aging 2020, 4: 195-195. PMCID: PMC7740753, DOI: 10.1093/geroni/igaa057.631.Peer-Reviewed Original Research
2014
An Exploration of Social Desirability Bias in Measurement of Attitudes toward Breastfeeding in Public
Lippitt M, Masterson A, Sierra A, Davis AB, White MA. An Exploration of Social Desirability Bias in Measurement of Attitudes toward Breastfeeding in Public. Journal Of Human Lactation 2014, 30: 358-366. PMID: 24692103, DOI: 10.1177/0890334414529020.Peer-Reviewed Original ResearchSocial desirability biasDesirability biasMeasurement of attitudesDemographic sectorsMeasures of attitudesDimensions of attitudesUnmatched count techniquePublic settingsPublicAttitudesUCT methodSQ conditionsSelf-reported attitudesSocial desirabilityFuture researchRates of endorsementEndorsementHigher endorsementWeb-based surveyQuestionsAnonymitySectorDesirabilityLaw
2004
Protecting patient privacy by quantifiable control of disclosures in disseminated databases
Ohno-Machado L, Silveira P, Vinterbo S. Protecting patient privacy by quantifiable control of disclosures in disseminated databases. International Journal Of Medical Informatics 2004, 73: 599-606. PMID: 15246040, DOI: 10.1016/j.ijmedinf.2004.05.002.Peer-Reviewed Original ResearchConceptsSensitive patient dataPattern recognition algorithmsLevel of confidentialitySensitive dataPrivacy protectionSensitive informationDisseminated dataRecognition algorithmDegree of anonymityPatient privacyAlgorithmPrivacyPatient dataDatabaseAnonymizationQuantifiable controlPublic health purposesConfidentialityInformationAnonymityHealth care organizationsHealth purposesCare organizationsCommon practiceAmbiguation
1999
Using Boolean reasoning to anonymize databases
Øhrn A, Ohno-Machado L. Using Boolean reasoning to anonymize databases. Artificial Intelligence In Medicine 1999, 15: 235-254. PMID: 10206109, DOI: 10.1016/s0933-3657(98)00056-6.Peer-Reviewed Original ResearchConceptsBoolean reasoningMedical data repositoriesMeasure of anonymitySensitive dataPrivacy issuesDatabase fieldAmount of trustConfidential informationDegree of anonymityData repositoryDeterministic inferenceIndividual objectsAnonymityParticular pieceAlgorithmElectronic medical recordsSpecific needsReasoningDatabasePossible misuseAnonymizationInformationRepositoryOutside worldIssues
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