Litcius/Paper detail

Machine Learning Identifies Clinical Parameters to Predict Mortality in Patients Undergoing Transcatheter Mitral Valve Repair

Elric Zweck, Maximilian Spieker, Patrick Horn, Christos Iliadis, Clemens Metze, Refik Kavsur, Vedat Tiyerili, Georg Nickenig, Stephan Baldus, Malte Kelm, Marc Ulrich Becher, Roman Pfister, Ralf Westenfeld

2021JACC: Cardiovascular Interventions54 citationsDOI

Topics & Concepts

MitraClipMedicineMitral regurgitationInternal medicineReceiver operating characteristicCohortRisk stratificationFramingham Risk ScoreCardiologyClinical endpointCreatinineEjection fractionHeart failureClinical trialDiseaseCardiac Valve Diseases and TreatmentsCardiovascular Function and Risk FactorsCongenital Heart Disease Studies
Machine Learning Identifies Clinical Parameters to Predict Mortality in Patients Undergoing Transcatheter Mitral Valve Repair | Litcius