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

Abstract

Machine learning applied to information from a disease-specific (cancer) database and the EAR can be used to predict clinical outcomes. Importantly, the approach described made use of digital data that is already routinely collected but underexploited by clinical health systems.