A Machine Learning Approach to Predict Remission in Patients With Psoriatic Arthritis on Treatment With Secukinumab

BACKGROUND: Psoriatic Arthritis (PsA) is a multifactorial disease, and predicting remission is challenging. Machine learning (ML) is a promising tool for building multi-parametric models to predict clinical outcomes. We aimed at developing a ML algorithm to predict the probability of remission in Ps...

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Detalles Bibliográficos
Autores principales: Venerito, Vincenzo, Lopalco, Giuseppe, Abbruzzese, Anna, Colella, Sergio, Morrone, Maria, Tangaro, Sabina, Iannone, Florenzo
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/PMC9271870/
https://www.ncbi.nlm.nih.gov/pubmed/35833126
http://dx.doi.org/10.3389/fimmu.2022.917939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271870/
https://www.ncbi.nlm.nih.gov/pubmed/35833126
http://dx.doi.org/10.3389/fimmu.2022.917939

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