Machine learning-based prediction of the post-thrombotic syndrome: Model development and validation study

Abstract

Machine learning models built for PTS had accurate prediction ability and stable generalization, which can further facilitate clinical decision-making, with potentially important implications for selecting patients who will benefit from endovascular surgery.