1. A system for knowledge-based interpretable predictive modeling of lung cancer patients, the system comprising: an input configured to receive patient information representing characteristics of a first patient, wherein the characteristics comprise at least two of tumor load, T-stage, N-stage, number of lymph node stations, and WHO performance; a processor configured to apply a graphical model as a function of the patient information, the model configured to output a prediction for the first patient; and a display configured to output an image, the image comprising a graphical representation of the graphical model and the prediction, wherein the graphical representation shows at least one relationship between the characteristics leading to the prediction.