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Non-small Cell Lung Cancer (NSCLC) is a leading death disease in many countries. Many studies are focusing on exact surgical approaches to treat the disease. The five-year overall survival rate for NSCLC patients is typically predicted by traditional regression models with small samples and data size. In this paper, we introduce machine learning tools with feature selection algorithms and random forests...
Background Assessing of the costs of treating disease is necessary to demonstrate cost-effectiveness and to estimate the budget impact of new interventions and therapeutic innovations. However, there are few comprehensive studies on resource use and costs associated with lung cancer patients in clinical practice in Spain or internationally. The aim of this paper was to assess the hospital cost...
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