Identification of PsA phenotypes with machine learning analytics using data from two phase III clinical trials of guselkumab in a bio-naïve population of patients with PsA

OBJECTIVES: Psoriatic arthritis (PsA) phenotypes are typically defined by their clinical components, which may not reflect patients’ overlapping symptoms. This post hoc analysis aimed to identify hypothesis-free PsA phenotype clusters using machine learning to analyse data from the phase III DISCOVE...

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Detalles Bibliográficos
Autores principales: Richette, Pascal, Vis, Marijn, Ohrndorf, Sarah, Tillett, William, Ramírez, Julio, Neuhold, Marlies, van Speybroeck, Michel, Theander, Elke, Noel, Wim, Zimmermann, Miriam, Shawi, May, Kollmeier, Alexa, Zabotti, Alen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Psoriatic Arthritis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069583/
https://www.ncbi.nlm.nih.gov/pubmed/37001920
http://dx.doi.org/10.1136/rmdopen-2022-002934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069583/
https://www.ncbi.nlm.nih.gov/pubmed/37001920
http://dx.doi.org/10.1136/rmdopen-2022-002934

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