Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study.

Young Bin JooYul KimYoungho ParkKwangwoo KimJeong Ah RyuSeunghun LeeSo-Young BangHye-Soon LeeGwan-Su YiSang-Cheol Bae

Published in: Arthritis research & therapy (2017)

Using various biological functions of SNPs and repeated machine learning, our model could predict severe radiographic progression relevantly and robustly in patients with RA compared with models using only GWAS results or other post-GWAS tools.

Keyphrases

rheumatoid arthritis
machine learning
early onset
disease activity
ankylosing spondylitis
genome wide
artificial intelligence
big data
idiopathic pulmonary fibrosis