Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

摘要

ObjectivesUsing the prediction of cancer outcome as a model, we have tested the hypothesis that through analysing routinely collected digital data contained in an electronic administrative record (EAR), using machine-learning techniques, we could enhance conventional methods in predicting clinical outcomes.