2022
Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances
Merchant S, Shaikh M, Nadkarni P. Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances. World Journal Of Radiology 2022, 14: 114-136. PMID: 35978978, PMCID: PMC9258306, DOI: 10.4329/wjr.v14.i6.114.Peer-Reviewed Original ResearchDrug-resistant tuberculosisHost immune responseInternational health communityAccuracy of diagnosisSensitive diagnostic toolInitial diagnosisResistant tuberculosisTB eliminationClinical parametersMultiple imaging modalitiesActive infectionPrognostic indicatorVitamin D.Epidemiologic dataImmune responseMolecular imaging techniquesProtective roleTissue changesTuberculosisKey imagingBasic research advancesPopulation level identificationMycobacterium tuberculosisPatient dataArtificial intelligence algorithms
2011
Web-browser encryption of personal health information
Morse R, Nadkarni P, Schoenfeld D, Finkelstein D. Web-browser encryption of personal health information. BMC Medical Informatics And Decision Making 2011, 11: 70. PMID: 22073940, PMCID: PMC3276430, DOI: 10.1186/1472-6947-11-70.Peer-Reviewed Original ResearchConceptsPersonal health informationRemote data entryWeb browserSensitive informationData centersHealth informationData entryHealth recordsUnprecedented amountPatient dataPatient confidentialityFinancial lossesClinical dataInformationMedical conditionsEncryptionServerBrowserClinical researchEffective medical practiceRange of situationsConfidentialityAccessSystemMedical practice
2006
Pivoting approaches for bulk extraction of Entity–Attribute–Value data
Dinu V, Nadkarni P, Brandt C. Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods And Programs In Biomedicine 2006, 82: 38-43. PMID: 16556470, DOI: 10.1016/j.cmpb.2006.02.001.Peer-Reviewed Original ResearchConceptsEntity attributesClinical study data management systemsData management systemNumber of attributesDatabase serverHash tableClinical patient dataValue dataManagement systemAlternative algorithmsPatient dataSQLServerRepositoryAlgorithmComplex approachFormatDataAttributesParameter formatOne-columnExtractionAnalytical programPerformanceMemory
2003
Temporal query of attribute-value patient data: utilizing the constraints of clinical studies
Deshpande AM, Brandt C, Nadkarni PM. Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. International Journal Of Medical Informatics 2003, 70: 59-77. PMID: 12706183, PMCID: PMC2987270, DOI: 10.1016/s1386-5056(02)00183-1.Peer-Reviewed Original ResearchConceptsClinical study data management systemsTemporal queriesClinical patient record systemsClinical data storageData management systemPatient record systemQuery algorithmData storageTemporal operatorsClinical studiesQueriesManagement systemGroup of patientsRecord systemEffect of therapyTemporal computationAdverse eventsRelational formsPatient dataLogistic reasonsArchitectureValue modelAlgorithm
1998
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributes