Validation of an algorithm for identifying type 1 diabetes in adults based on electronic health record data.

Emily B SchroederWilliam T DonahooGlenn K Goodrich Marsha A Raebel

Published in: Pharmacoepidemiology and drug safety (2018)

Data from electronic health records can be used to accurately identify adults with type 1 diabetes. When identifying adults with type 1 diabetes, we recommend either a modified version of the Klompas algorithm without the urine acetone test strips criterion or the requirement that the majority of diabetes diagnosis codes be type 1 codes.

Keyphrases

electronic health record
type diabetes
clinical decision support
adverse drug
machine learning
cardiovascular disease
glycemic control
deep learning
metabolic syndrome
adipose tissue
big data
neural network
clinical evaluation