Development of machine learning models for chronic fatigue prediction in granulomatosis with polyangiitis

Abstract Background Chronic fatigue severely compromises the quality of life in patients with granulomatosis with polyangiitis (GPA). Traditional diagnostic methods are often time-consuming, relying on clinical expertise and detailed questionnaires. This study aimed to develop a machine learning mod...

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Bibliographic Details
Published in:Advances in Rheumatology
Main Authors: Alexandre Moura dos Santos, Samuel Katsuyuki Shinjo
Format: Article
Language:English
Published: BMC 2025-10-01
Subjects:
Granulomatosis with polyangiitis
Fatigue
Machine learning
Vasculitis
Online Access:https://doi.org/10.1186/s42358-025-00482-3

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