Predictability Bounds of Electronic Health Records.

ABSTRACT: The ability to intervene in disease progression given a person's disease history has the potential to solve one of society's most pressing issues: advancing health care delivery and reducing its cost. Controlling disease progression is inherently associated with the ability to predict possible future diseases given a patient's medical history. We invoke an information-theoretic methodology to quantify the level of predictability inherent in disease histories of a large electronic health records dataset with over half a million patients. In our analysis, we progress from zeroth order through temporal informed statistics, both from an individual patient's standpoint and also considering the collective effects. Our findings confirm our intuition that knowledge of common disease progressions r

SUBMITTER: Dahlem D 

PROVIDER: S-EPMC4493571 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature