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Machine learning (ML) is increasingly being applied in Cardiology to predict outcomes and assist in clinical decision‐making. We sought to develop and validate an ML model for the prediction of… Click to show full abstract
Machine learning (ML) is increasingly being applied in Cardiology to predict outcomes and assist in clinical decision‐making. We sought to develop and validate an ML model for the prediction of mortality after heart transplantation (HT) in adults with congenital heart disease (ACHD).
Keywords:
machine learning;
transplantation;
heart transplantation;
heart;
prediction mortality;
mortality heart
Journal Title: Clinical Transplantation
Year Published: 2022
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Journal Title: Clinical Transplantation
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!