2024
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
Adejumo P, Thangaraj P, Dhingra L, Aminorroaya A, Zhou X, Brandt C, Xu H, Krumholz H, Khera R. Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open 2024, 7: e2443925. PMID: 39509128, PMCID: PMC11544492, DOI: 10.1001/jamanetworkopen.2024.43925.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overConnecticutDeep LearningDocumentationElectronic Health RecordsFemaleFunctional StatusHeart FailureHumansMaleMiddle AgedNatural Language ProcessingROC CurveConceptsFunctional status assessmentArea under the receiver operating characteristic curveClinical documentationElectronic health record dataHF symptomsOptimal care deliveryHealth record dataAssess functional statusStatus assessmentClinical trial participationProcessing of clinical documentsFunctional status groupCare deliveryOutpatient careMain OutcomesMedical notesTrial participantsNew York Heart AssociationFunctional statusQuality improvementRecord dataHeart failureClinical notesDiagnostic studiesStatus groups
2023
Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record
Dhingra L, Shen M, Mangla A, Khera R. Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record. The American Journal Of Cardiology 2023, 203: 136-148. PMID: 37499593, PMCID: PMC10865722, DOI: 10.1016/j.amjcard.2023.06.104.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsData CollectionDelivery of Health CareElectronic Health RecordsInformation Storage and RetrievalMulticenter Studies as TopicNatural Language ProcessingConceptsElectronic health recordsData elementsUnstructured data streamsUnstructured data elementsNatural language processingCommon data modelHealth recordsStructured data elementsComputer visionUnstructured dataData streamsHeterogeneity challengesSeamless deliveryData modelLanguage processingData storageFree textClinical narrativesComputational phenotypesOngoing workPatient informationRapid innovationSpecific expertiseConfidentialityOngoing innovation
2022
A machine learning application for raising WASH awareness in the times of COVID-19 pandemic
Pandey R, Gautam V, Pal R, Bandhey H, Dhingra L, Misra V, Sharma H, Jain C, Bhagat K, Arushi, Patel L, Agarwal M, Agrawal S, Jalan R, Wadhwa A, Garg A, Agrawal Y, Rana B, Kumaraguru P, Sethi T. A machine learning application for raising WASH awareness in the times of COVID-19 pandemic. Scientific Reports 2022, 12: 810. PMID: 35039533, PMCID: PMC8764038, DOI: 10.1038/s41598-021-03869-6.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19DisinformationFemaleGlobal HealthHumansMachine LearningMaleNatural Language ProcessingPandemicsConceptsMachine learning applicationsMachine learningArtificial intelligenceLearning applicationsContinuous machine learningConversational artificial intelligenceHealth misinformationLeverage machine learningConversational AIMachine translationNeural modelAI chatbotsDelivery of informationRight informationCombat misinformationMachineHealth appsMHealth platformAppsLearningNews contentVernacular languageInformationLocal languageCOVID-19 information