2024
Glottal Insufficiency and Parkinson’s Disease: A Scoping Review of Vocal Fold Medialization Procedures
Garabedian M, Keltz A, Lerner M, Brackett A, Leydon C. Glottal Insufficiency and Parkinson’s Disease: A Scoping Review of Vocal Fold Medialization Procedures. Journal Of Voice 2024 PMID: 39438169, DOI: 10.1016/j.jvoice.2024.09.034.Peer-Reviewed Original Research In PressImprove vocal functionJoanna Briggs Institute checklistDiagnosis of participantsGrey literature resourcesProspective research designEnrollment of participantsQuality of lifeDebilitating symptom of Parkinson's diseaseScoping ReviewInstitute checklistEnglish-language publicationsGeneralizability of findingsParticipant demographicsQuality of research articlesOutcome measuresAuditory-perceptualParkinson's diseaseEligibility criteriaInclusionary criteriaBiomedical databasesControl participantsSpeech therapyDebilitating symptomsPwPDVocal function
2020
Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs
Cho H, Simmons S, Kim R, Berger B. Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs. Cell Systems 2020, 10: 408-416.e9. PMID: 32359425, DOI: 10.1016/j.cels.2020.03.006.Peer-Reviewed Original ResearchConceptsDifferential privacySensitive individual-level dataFormal privacy guaranteesQuery-answering systemPrivacy-utility tradePrivacy guaranteesQuery answersCount queriesCohort discoveryDatabase queriesUtility functionUse casesProof of optimalityResearch workflowAggregate insightsBiomedical databasesAccuracy improvementPrivate informationQueriesPrivacyGeneral utility functionDatabaseMore general utility functionsNew theoretical resultsLookup
2016
Weakly supervised learning of biomedical information extraction from curated data
Jain S, R. K, Kuo T, Bhargava S, Lin G, Hsu C. Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinformatics 2016, 17: s1. PMID: 26817711, PMCID: PMC4847485, DOI: 10.1186/s12859-015-0844-1.Peer-Reviewed Original ResearchConceptsTraining examplesInformation extractionGenome-wide association studiesCommittee of weak classifiersCurated dataInformation extraction tasksBiomedical information extractionWeakly supervised learningCost-sensitive learningBiomedical text miningSupervised machine learningNoisy labelsWeak classifiersExtraction taskInformation extractorExpert annotationsBig dataMachine learningText miningBaseline counterpartExperimental resultsAssociation studiesTarget phenotypeBiomedical databasesTask
2006
Guidelines for the effective use of entity–attribute–value modeling for biomedical databases
Dinu V, Nadkarni P. Guidelines for the effective use of entity–attribute–value modeling for biomedical databases. International Journal Of Medical Informatics 2006, 76: 769-779. PMID: 17098467, PMCID: PMC2110957, DOI: 10.1016/j.ijmedinf.2006.09.023.Peer-Reviewed Original Research
1999
Organization of Heterogeneous Scientific Data Using the EAV/CR Representation
Nadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. Organization of Heterogeneous Scientific Data Using the EAV/CR Representation. Journal Of The American Medical Informatics Association 1999, 6: 478-493. PMID: 10579606, PMCID: PMC61391, DOI: 10.1136/jamia.1999.0060478.Peer-Reviewed Original ResearchConceptsEAV/CRHeterogeneous scientific dataPhysical database schemaStorage of dataInterobject relationshipsDatabase schemaHeterogeneous dataMedical domainComplex objectsScientific domainsClinical patient recordsSchemaBiomedical databasesRepresentationScientific dataPatient recordsSuch purposesDatabaseValue representationDomainObjectsParadigmData
1997
QAV: querying entity-attribute-value metadata in a biomedical database
Nadkarni P. QAV: querying entity-attribute-value metadata in a biomedical database. Computer Methods And Programs In Biomedicine 1997, 53: 93-103. PMID: 9186046, DOI: 10.1016/s0169-2607(97)01815-4.Peer-Reviewed Original ResearchConceptsData retrievalClient-server applicationsGraphical front endSet-based queriesMetadata repositorySQL statementsData organizationKnowledge representationBiomedical databasesRetrievalProduction applicationsFront endQueriesServerMetadataDatabaseUsersRepositoryDatasetApplicationsRelation formRepresentation
1995
SQLGEN: A framework for rapid client-server database application development
Nadkarni P, Cheung K. SQLGEN: A framework for rapid client-server database application development. Journal Of Biomedical Informatics 1995, 28: 479-499. DOI: 10.1006/cbmr.1995.1030.Peer-Reviewed Original ResearchDatabase application developmentStructured query languageApplication developmentCommon database operationsClient-server modeRapid application prototypingClient machineQuery languageDatabase operationsDatabase serverServer dataUser actionsApplication prototypingAccess rightsData dictionaryMicrocomputer databaseMetadataRelational formsClientsBiomedical databasesModest effortDictionaryServerFrameworkDatabaseSQLGEN: a framework for rapid client-server database application development.
Nadkarni P, Cheung K. SQLGEN: a framework for rapid client-server database application development. Journal Of Biomedical Informatics 1995, 28: 479-99. PMID: 8770535, DOI: 10.1016/s0010-4809(85)71030-0.Peer-Reviewed Original ResearchConceptsDatabase application developmentStructured query languageApplication developmentCommon database operationsClient-server modeRapid application prototypingClient machineQuery languageDatabase operationsDatabase serverServer dataUser actionsApplication prototypingAccess rightsData dictionaryMicrocomputer databaseMetadataRelational formsClientsBiomedical databasesModest effortDictionaryServerFrameworkDatabase
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