Machine learning and conventional Cox regression to predict target-lesion revascularization after percutaneous coronary intervention - Top-Institutions - MDSpire

Machine learning and conventional Cox regression to predict target-lesion revascularization after percutaneous coronary intervention

  • By

  • Mona El-Faramawi

  • Marco Busco

  • Sören Möller

  • Lisette Okkels Jensen

  • Jens Flensted Lassen

  • July 1, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Western Denmark Heart Registry
    Western Denmark Heart Registry

    Aarhus, Denmark

    Key Differentiators

    • Cardiology

  • #2

    Odense University Hospital
    Odense University Hospital

    Odense, Denmark

    Key Differentiators

    • Cardiology

  • #3

    Beijing Anzhen Hospital
    Beijing Anzhen Hospital

    Beijing, China

    Key Differentiators

    • Cardiology

Original Source(s)

Machine learning and conventional Cox regression to predict target-lesion revascularization after percutaneous coronary intervention

  • by Mona El-Faramawi, Marco Busco, Sören Möller, Lisette Okkels Jensen, Jens Flensted Lassen

  • July 1, 2026

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