2022
Combining human and machine intelligence for clinical trial eligibility querying
Fang Y, Idnay B, Sun Y, Liu H, Chen Z, Marder K, Xu H, Schnall R, Weng C. Combining human and machine intelligence for clinical trial eligibility querying. Journal Of The American Medical Informatics Association 2022, 29: 1161-1171. PMID: 35426943, PMCID: PMC9196697, DOI: 10.1093/jamia/ocac051.Peer-Reviewed Original ResearchConceptsNegation scope detectionCohort queriesScope detectionHealth Information Technology Usability Evaluation ScaleHuman-computer collaborationValue normalizationNatural language processingMachine intelligenceDomain expertsEligibility criteria textUsability evaluationLearnability scoreF1 scoreUser interventionLanguage processingHuman intelligenceUsability scoreQueriesError correctionEngagement featuresIntelligenceDisease trialsFrequent modificationsEnhanced modulesCOVID-19 clinical trials
2017
User needs analysis and usability assessment of DataMed – a biomedical data discovery index
Dixit R, Rogith D, Narayana V, Salimi M, Gururaj A, Ohno-Machado L, Xu H, Johnson T. User needs analysis and usability assessment of DataMed – a biomedical data discovery index. Journal Of The American Medical Informatics Association 2017, 25: 337-344. PMID: 29202203, PMCID: PMC7378884, DOI: 10.1093/jamia/ocx134.Peer-Reviewed Original ResearchData discoveryUsability evaluationInformation needsUser interfaceBiomedical dataIterative usability evaluationsInformation retrieval toolsUser interface needsHigh-quality metadataResearchers informationCommon search enginesDiscovery systemRetrieval toolsDataMedUser studyRelevance judgmentsSearch enginesUser needsDataset explorationUsability assessmentRetrieval techniquesNew retrieval techniqueIncomplete metadataMetadataUsers