Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Yuanfang GuanHongjiu ZhangDaniel QuangZiyan WangStephen C J ParkerDimitrios A PappasJoel M KremerFan Zhu

Published in: Arthritis & rheumatology (Hoboken, N.J.) (2019)

The model described here shows promise in guiding treatment decisions in clinical practice, based primarily on clinical profiles with additional genetic information.

Keyphrases

rheumatoid arthritis patients
machine learning
clinical practice
genome wide
rheumatoid arthritis
disease activity
big data
emergency department
healthcare
copy number
gene expression
dna methylation
systemic lupus erythematosus
combination therapy