Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis.

Jennifer ScottArthur WhiteCathal WalshLouis AslettMatthew A RutherfordJames NgConor JudgeKuruvilla SebastianSorcha O'BrienJohn KelleherJulie PowerNiall ConlonSarah M MoranRaashid Ahmed LuqmaniPeter A MerkelVladimir TesarZdenka HruskovaMark A Little

Published in: RMD open (2024)

This CP accurately quantifies the individualised probability of relapse in AAV retrospectively, using objective, readily accessible registry data. This framework could be leveraged for other outcomes and relapsing diseases.

Keyphrases

free survival
multiple sclerosis
electronic health record
cross sectional
big data
gene therapy
disease activity
bioinformatics analysis
metabolic syndrome
machine learning