IDENTIFICATION AND MACHINE LEARNING PREDICTION OF MEDICARE BENEFICIARIES’ COGNITIVE FUNCTION TRAJECTORIES

Abstract

This work aims to characterize the functional decline in cognition during the last five years of life. A 10% random sample consisting of 195,240 Medicare beneficiaries who died in 2019, aged fifty or older and continuously enrolled in Medicare during their last five years of life, was analyzed.