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

Arthritis & rheumatology (Hoboken, N.J.) 31342661
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Adalimumab Antirheumatic Agents Arthritis, Rheumatoid Certolizumab Pegol Etanercept Female Genetic Markers Humans Infliximab Machine Learning Male Methotrexate Middle Aged Normal Distribution Outcome Assessment, Health Care Polymorphism, Single Nucleotide Predictive Value of Tests Regression Analysis Reproducibility of Results Severity of Illness Index Treatment Outcome Tumor Necrosis Factor-alpha
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