ABSTRACT
Objective
Incorporating accurate life expectancy
predictions into clinical decision making could improve
quality and decrease costs, but few providers do this. We
sought to use predictive data mining and high
dimensional analytics of electronic health record (EHR)
data to develop a highly accurate and clinically
actionable 5 year life expectancy index