Machine-learning derived algorithms for prediction of radiographic progression in early axial spondyloarthritis.

Garofoli, Romain; Resche-Rigon, Matthieu; Roux, Christian; van der Heijde, Désirée; Dougados, Maxime; Moltó, Anna

Garofoli, Romain; Resche-Rigon, Matthieu; Roux, Christian; van der Heijde, Désirée; Dougados, Maxime; Moltó, Anna.

Afiliación

Garofoli R; ECAMO Team, INSERM U1153: Clinical Epidemiology and Biostatistics, Université de Paris, France. romaingarofoli@gmail.com.
Resche-Rigon M; ECSTRRA Team, INSERM U1153: Clinical Epidemiology and Biostatistics, Université de Paris, and SBIM, Saint-Louis Hospital, APHP, Paris, France.
Roux C; ECAMO Team, INSERM U1153: Clinical Epidemiology and Biostatistics, Université de Paris, and Rheumatology Department, Cochin Hospital, APHP.5, Paris, France.
van der Heijde D; Leiden University Medical Center (LUMC), Leiden, The Netherlands.
Dougados M; ECAMO Team, INSERM U1153: Clinical Epidemiology and Biostatistics, Université de Paris, and Rheumatology Department, Cochin Hospital, APHP.5, Paris, France.
Moltó A; ECAMO Team, INSERM U1153: Clinical Epidemiology and Biostatistics, Université de Paris, and Rheumatology Department, Cochin Hospital, APHP.5, Paris, France.

Clin Exp Rheumatol ; 41(3): 727-734, 2023 Mar.

Article en En | MEDLINE | ID: mdl-36200930

Asunto(s)

Espondiloartritis Axial; Espondiloartritis; Humanos; Espondiloartritis/diagnóstico por imagen; Estudios de Cohortes; Estudios Prospectivos; Teorema de Bayes; Algoritmos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espondiloartritis / Espondiloartritis Axial Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Exp Rheumatol Año: 2023 Tipo del documento: Article País de afiliación: Francia

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