A Deep Learning Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.

Physicians increasingly depend on electronic health records (EHRs) to manage their patients. However, many patient records have substantial missing values that pose a fundamental challenge to their clinical use. To address this prevailing challenge, we propose an unsupervised deep learning–based method that can facilitate physicians’ use of EHRs to improve their management of cardiovascular patien...