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Validity of Machine Learning in Predicting Giant Cell Arteritis Flare After Glucocorticoids Tapering
BACKGROUND: Inferential statistical methods failed in identifying reliable biomarkers and risk factors for relapsing giant cell arteritis (GCA) after glucocorticoids (GCs) tapering. A ML approach allows to handle complex non-linear relationships between patient attributes that are hard to model with...
Autores principales: | Venerito, Vincenzo, Emmi, Giacomo, Cantarini, Luca, Leccese, Pietro, Fornaro, Marco, Fabiani, Claudia, Lascaro, Nancy, Coladonato, Laura, Mattioli, Irene, Righetti, Giulia, Malandrino, Danilo, Tangaro, Sabina, Palermo, Adalgisa, Urban, Maria Letizia, Conticini, Edoardo, Frediani, Bruno, Iannone, Florenzo, Lopalco, Giuseppe |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017227/ https://www.ncbi.nlm.nih.gov/pubmed/35450069 http://dx.doi.org/10.3389/fimmu.2022.860877 |
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