Identification of individuals at high risk of developing rheumatoid arthritis: a balanced random forest model in a cohort of 1544 first-degree relatives

Objectives To identify in a genetically susceptible population individuals at higher risk of developing rheumatoid arthritis (RA) using a classification approach combining known epidemiological risk factors, serological biomarkers, genetics, clinical signs and symptoms.Methods We used data from the...

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Главные авторы:	Axel Finckh, Delphine S Courvoisier, Celine Lamacchia, Diana Dan, Diego Kyburz, Adrian Ciurea, Laure Brulhart, Andrea Rubbert-Roth, Sascha Swiniarski, Burkhard Möller, Jean Dudler, Benoît Thomas P Gilbert, Olivia Studer, Romain Guemara, Romain Aymon, Ruediger Mueller, Isabel Gehring, Maresa Grundhuber, Zubeyir Salis, David Spoerl, Ines Von Mühlenen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMJ Publishing Group 2025-11-01
Серии:	RMD Open
Online-ссылка:	https://rmdopen.bmj.com/content/11/4/e005773.full
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