Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach

We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model using the machine learning method Random Survival Forests (RSF). Two independent cohorts from Madrid (Spain) were used: the Hospital Clínico San Carlos RA Cohort (HCSC-RAC; training; 1,461 patients), and...

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Detalles Bibliográficos
Autores principales: Lezcano-Valverde, José M., Salazar, Fernando, León, Leticia, Toledano, Esther, Jover, Juan A., Fernandez-Gutierrez, Benjamín, Soudah, Eduardo, González-Álvaro, Isidoro, Abasolo, Lydia, Rodriguez-Rodriguez, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579234/
https://www.ncbi.nlm.nih.gov/pubmed/28860558
http://dx.doi.org/10.1038/s41598-017-10558-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579234/
https://www.ncbi.nlm.nih.gov/pubmed/28860558
http://dx.doi.org/10.1038/s41598-017-10558-w

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