Forecasting achievement of inactive disease in juvenile idiopathic arthritis with artificial intelligence

Forecasting achievement of inactive disease in juvenile idiopathic arthritis with artificial intelligence

<p dir="ltr">Objective. To seek for predictors of inactive disease (ID) in juvenile idiopathic arthritis (JIA) with artificial intelligence.</p><p dir="ltr">Methods. The clinical charts of patients seen within 6 months after disease onset between 2007 and 2019 a...

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Main Author: Davide Cangelosi (20737451) (author)
Other Authors: Ana Isabel Rebollo-Giménez (20737472) (author), Francesca Ridella (20737481) (author), Silvia Orsi (20737482) (author), Elena Aldera (20737494) (author), Marco Burrone (20737495) (author), Valentina Natoli (20737498) (author), Silvia Rosina (20737501) (author), Alessandro Consolaro (5081480) (author), Esperanza Naredo (20737505) (author), Angelo Ravelli (9363475) (author)
Published: 2025
Subjects:
Other health sciences not elsewhere classified
Juvenile Idiopathic Arthritis Patients
Pediatric rheumatology
outcome predictors
Inactive disease
artificial intelligence applied
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