O14: RANDOM FOREST MODELS FOR PREDICTING SURVIVAL AFTER OESOPHAGECTOMY
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DOI: 10.1093/bjs/znab117.014
Abstract: For patients with oesophageal cancer, producing accurate prediction models for survival after oesophagectomy has proved challenging. We investigated whether Random Survival Forests (RSF), a novel machine learning method, could produce an accurate prognostic model for… read more here.
Keywords: model; predicting survival; random forest; survival oesophagectomy ... See more keywords