Resumen
Traditional survival models estimate risk across many patients, and thus, translating survival outcomes to individual patients is a difficult task. Individual survival distributions (ISDs) provide an accurate survival curve for each individual patient. In this study, we demonstrate that ISDs established with multi-task logistic regression (MTLR) models provide accurate individual survival predictions for gastric cancer. Because MTLR is not bound by traditional assumptions, we demonstrate that the degree to which a tumour has a favourable immune system interaction has the most relevant long-term survival effects.