2024
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
Nargesi A, Adejumo P, Dhingra L, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni G, Lin Z, Ahmad F, Krumholz H, Khera R. Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing. JACC Heart Failure 2024 PMID: 39453355, DOI: 10.1016/j.jchf.2024.08.012.Peer-Reviewed Original ResearchReduced ejection fractionEjection fractionHeart failureLeft ventricular ejection fractionVentricular ejection fractionYale-New Haven HospitalIdentification of patientsCommunity hospitalIdentification of heart failureLanguage modelNorthwestern MedicineMeasure care qualityQuality of careNew Haven HospitalDeep learning-based natural language processingHFrEFGuideline-directed careDeep learning language modelsMIMIC-IIIDetect HFrEFNatural language processingReclassification improvementHospital dischargePatientsCare quality
2023
Heart failure with reduced ejection fraction: clinical and economic burden and insights into current and emerging treatments.
Sen S. Heart failure with reduced ejection fraction: clinical and economic burden and insights into current and emerging treatments. The American Journal Of Managed Care 2023, 29: s180-s186. PMID: 37677742, DOI: 10.37765/ajmc.2023.89415.Peer-Reviewed Original ResearchConceptsGuideline-directed medical therapyReduced ejection fractionHeart failureEjection fractionEconomic burdenManagement of HFrEFPresence of comorbiditiesEmergency department visitsVentricular ejection fractionDisease-modifying therapiesPoor treatment adherenceHealth care systemDepartment visitsMedical therapyPatient factorsComorbid conditionsMedication costsTreatment adherenceOptimal treatmentOutpatient carePreventable hospitalizationsIndividual patientsHigh riskTarget dosesMedical costs