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Development and Validation of a Machine Learning Risk-Prediction Model for 30-Day Readmission for Heart Failure Following Transcatheter Aortic Valve Replacement (TAVR-HF Score)

Salman Zahid, Ankit Agrawal, Fnu Salman, Muhammad Zia Khan, Waqas Ullah, Ahmed Teebi, Safi U. Khan, Samian Sulaiman, Sudarshan Balla

2023Current Problems in Cardiology13 citationsDOI

Topics & Concepts

MedicineHeart failureCardiologyValve replacementInternal medicineFramingham Risk ScoreDiseaseStenosisCardiac Valve Diseases and TreatmentsCardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics
Development and Validation of a Machine Learning Risk-Prediction Model for 30-Day Readmission for Heart Failure Following Transcatheter Aortic Valve Replacement (TAVR-HF Score) | Litcius