Early diagnosis of persons with von Willebrand disease using a machine learning algorithm and real-world data

• DOI: 10.1080/17474086.2024.2354925
• Publication Date: 2024-05-23T07:33:38Z
• Authors: Robert F. Sidonio; Anan Lu; Sarah Hale; Jorge Caicedo; Mike Bullano; Shan Xing
• Keywords: Real world data; von Willebrand Disease

Background Von Willebrand disease (VWD) is underdiagnosed, often delaying treatment. VWD claims coding limited, including no severity qualifiers; improved identification methods for are needed. This study's aim: identify and characterize undiagnosed symptomatic persons with in the US using medical insurance to develop predictive machine learning (ML) models.