Untangling profiles of postthrombotic syndrome using unsupervised machine learning

Abstract: Postthrombotic syndrome (PTS) is a chronic condition that can develop after deep vein thrombosis (DVT) and is diagnosed using the Villalta scale. This study applied unsupervised machine learning to investigate the heterogeneity of PTS among patients and within the Villalta scale. In 818 pa...

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Bibliographic Details

Published in:	Blood Advances
Main Authors:	Aaron F. J. Iding, Vincent ten Cate, Hugo ten Cate, Philipp S. Wild, Arina J. ten Cate-Hoek
Format:	Article
Language:	English
Published:	Elsevier 2025-07-01
Online Access:	http://www.sciencedirect.com/science/article/pii/S2473952925001570