Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters

Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters

Abstract The diagnostic delay in celiac disease (CD) is currently a burden for individual and society. Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to explore prediction models for CD antibody seropositivity. We developed two prediction mode...

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Main Authors: Signe Ulfbeck Schovsbo, Michael Charles Sachs, Margit Kriegbaum, Anne Ahrendt Bjerregaard, Line Tang Møllehave, Susanne Hansen, Bent Struer Lind, Tora Grauers Willadsen, Allan Linneberg, Christen Lykkegaard Andersen, Line Lund Kårhus
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Prediction
Celiac disease
Laboratory tests
Epidemiology
Online Access:https://doi.org/10.1038/s41598-025-08225-6
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https://doi.org/10.1038/s41598-025-08225-6

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