Additional file 1 of Prognostic factors for advanced lung cancer patients with do-not-intubate order in intensive care unit: a retrospective study

Additional file 1: Figure S2A. ROC curve of APACHE II score. Figure S2B. ROC curve of P/F ratio. Figure S2C. ROC curve of P/F ratio + APACHEII score. Table S1. ICU basic characteristics by 90-day mortality (n = 140). Figure S3. 90-day mortality according to PF ratio and APACHEII score by driver mutations. Table S2. Multivariate analysis of 90-day mortality. Figure S4. Subgroup analysis of P/F ratio >  = 150 and APACHE II < 16 in predicting 28-day mortality

Additional file 1 of A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer

Additional file 1: Table S1. The formulae for the calculation of primary radiomic features. Table S2. Grid search results of DeepSurv hyper-parameters. Table S3. Comparisons of clinical characteristics between training and test sets. Table S4. Characteristics of clinical laboratory test. Table S5. Identified features for the model training in each DeepSurv model. Figure S1. The architecture of applied DeepSurv model. Figure S2. Schematic diagram of predictive risk-of-progression period in DeepSurv model