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