Using machine learning to construct nomograms for patients with metastatic colon cancer.

Beiqun ZhaoR A GabrielF VaidaS EisensteinG T SchnickelJ K SicklickB M Clary

Published in: Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland (2020)

Utilization of machine learning can result in more accurate predictive models for patients with metastatic colon cancer. Nomograms built from these models can assist clinicians and patients in the shared decision-making process of their cancer care.

Keyphrases

machine learning
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
prognostic factors
palliative care
high resolution
artificial intelligence
deep learning
mass spectrometry