Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-75352-7
Abstract: We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology… read more here.
Keywords: tnf users; machine learning; tnf; early tnf ... See more keywords
AB0834 Better improvement of asdas were achieved in 841 as patients among 6 months of anti-tnf users compared to non-anti-tnf users: results from a real world prospective cohort managed by smart phone system
Sign Up to like & getrecommendations! Published in 2018 at "Annals of the Rheumatic Diseases"
DOI: 10.1136/annrheumdis-2018-eular.3186
Abstract: Background Ankylosing spondylitis (AS) is a chronic and progressive condition of the spine, which is the most common form of spondyloarthritis (SpA). Although anti-TNF agents are the most effective therapy for AS or SpA, it… read more here.
Keywords: non anti; tnf users; months anti; disease ... See more keywords