Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores.
Andreas LehaCynthia HuberTim FriedeTimm BauerAndreas BeckmannRaffi BekeredjianSabine BleizifferEva HerrmannHelge MöllmannThomas WaltherFriedhelm BeyersdorfChristian HammArnaud KünziStephan WindeckerStefan StorteckyIngo KutschkaGerd HasenfussStephan EnsmingerChristian FrerkerTim SeidlerPublished in: European heart journal. Digital health (2023)
TRIM scores demonstrate good performance for risk estimation before and after TAVI. Together with clinical judgement, they may support standardised and objective decision-making before and after TAVI.