Complex Machine-Learning Algorithms and Multivariable Logistic Regression on Par in the Prediction of Insufficient Clinical Response to Methotrexate in Rheumatoid Arthritis

The goals of this study were to examine whether machine-learning algorithms outperform multivariable logistic regression in the prediction of insufficient response to methotrexate (MTX); secondly, to examine which features are essential for correct prediction; and finally, to investigate whether the...

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Detalles Bibliográficos
Autores principales: Gosselt, Helen R., Verhoeven, Maxime M. A., Bulatović-Ćalasan, Maja, Welsing, Paco M., de Rotte, Maurits C. F. J., Hazes, Johanna M. W., Lafeber, Floris P. J. G., Hoogendoorn, Mark, de Jonge, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828730/
https://www.ncbi.nlm.nih.gov/pubmed/33466633
http://dx.doi.org/10.3390/jpm11010044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828730/
https://www.ncbi.nlm.nih.gov/pubmed/33466633
http://dx.doi.org/10.3390/jpm11010044

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