Predicting mortality over different time horizons: which data elements are needed?
Electronic health records (EHRs) are a resource for "big data" analytics, containing a variety of data elements. We investigate how different categories of information contribute to prediction of mortality over different time horizons among patients undergoing hemodialysis treatment.
Author(s): Goldstein, Benjamin A, Pencina, Michael J, Montez-Rath, Maria E, Winkelmayer, Wolfgang C
DOI: 10.1093/jamia/ocw057