Survival prediction in mesothelioma using a scalable Lasso regression model: instructions for use and initial performance using clinical predictors

INTRODUCTION: Accurate prognostication is difficult in malignant pleural mesothelioma (MPM). We developed a set of robust computational models to quantify the prognostic value of routinely available clinical data, which form the basis of published MPM prognostic models. METHODS: Data regarding 269 p...

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Detalles Bibliográficos
Autores principales: Kidd, Andrew C, McGettrick, Michael, Tsim, Selina, Halligan, Daniel L, Bylesjo, Max, Blyth, Kevin G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Pleural Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812388/
https://www.ncbi.nlm.nih.gov/pubmed/29468073
http://dx.doi.org/10.1136/bmjresp-2017-000240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812388/
https://www.ncbi.nlm.nih.gov/pubmed/29468073
http://dx.doi.org/10.1136/bmjresp-2017-000240

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