A computational method to differentiate normal individuals, osteoarthritis and rheumatoid arthritis patients using serum biomarkers

The objective of this study was to develop a method for categorizing normal individuals (normal, n = 100) as well as patients with osteoarthritis (OA, n = 100), and rheumatoid arthritis (RA, n = 100) based on a panel of inflammatory cytokines expressed in serum samples. Two panels of inflammatory pr...

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Veröffentlicht in:	Journal of the Royal Society interface 2014-08, Vol.11 (97), p.20140428-20140428
Hauptverfasser:	Heard, Bryan J., Rosvold, Joshua M., Fritzler, Marvin J., El-Gabalawy, Hani, Wiley, J. Preston, Krawetz, Roman J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Arthritis, Rheumatoid - blood Arthritis, Rheumatoid - diagnosis Artificial Neural Network Biomarkers - blood Cytokines Cytokines - blood Diagnosis, Computer-Assisted - methods Diagnostic Female Humans Machine Learning Male Middle Aged Neural Networks (Computer) Osteoarthritis Osteoarthritis - blood Osteoarthritis - diagnosis Pattern Recognition, Automated - methods Reference Values Reproducibility of Results Sensitivity and Specificity Serum
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