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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
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

Internet

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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