Establishment and analysis of a novel diagnostic model for systemic juvenile idiopathic arthritis based on machine learning.

Pan DingYi DuXinyue JiangHuajian ChenLi Huang

Published in: Pediatric rheumatology online journal (2024)

We successfully developed a new SJIA diagnostic model that can be used for a novel aid in the identification of SJIA. In addition, the identification of 4 key genes that may serve as potential biomarkers for SJIA provides new insights to further understand the mechanisms of SJIA.

Keyphrases

juvenile idiopathic arthritis
machine learning
bioinformatics analysis
genome wide
disease activity
artificial intelligence
rheumatoid arthritis
big data
deep learning
systemic lupus erythematosus
gene expression
dna methylation