Assessing stroke severity using electronic health record data: a machine learning approach.

Emily KoganKathryn TwymanJesse HeapDejan MilentijevicJennifer H LinMark Alberts

Published in: BMC medical informatics and decision making (2020)

Machine learning models built on EHR data can be used to determine proxies for stroke severity. This enables severity to be incorporated in studies of stroke patient outcomes using administrative and EHR databases.

Keyphrases

electronic health record
machine learning
atrial fibrillation
clinical decision support
big data
adverse drug
deep learning
cerebral ischemia
subarachnoid hemorrhage
data analysis