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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...
Autores principales: | Kidd, Andrew C, McGettrick, Michael, Tsim, Selina, Halligan, Daniel L, Bylesjo, Max, Blyth, Kevin G |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
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 |
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