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  • Machine learning vs. conventional methods for prediction of 30-day readmission following percutaneous mitral edge-to-edge repair

    • Posted: 11/27/2023
    • Author:

      Samian Sulaiman, Akram Kawsara, Abdallah El Sabbagh, Abdulah Amer Mahayni, Rajiv Gulati, Charanjit S. Rihal and Mohamad Alkhouli

    • CRM2023

    Abstract

    Background

    Identifying predictors of readmissions after mitral valve transcatheter edge-to-edge repair (MV-TEER) is essential for risk stratification and optimization of clinical outcomes.

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