Development and validation of algorithms to identify newly diagnosed type 1 and type 2 diabetes in pediatric population using electronic medical records and claims data.

Dana Y TeltschSoulmaz Fazeli Farsani Richard S SwainStefan KaspersSamuel HuseChristina CristaldiBeth L NordstromKimberly G Brodovicz

Published in: Pharmacoepidemiology and drug safety (2019)

Our results suggest that claims algorithms can accurately identify newly diagnosed T1DM and T2DM pediatric patients, which can facilitate large database studies in children with T1DM and T2DM. However, external validation in other data sources is needed.

Keyphrases

newly diagnosed
glycemic control
type diabetes
machine learning
health insurance
electronic health record
big data
deep learning
young adults
cardiovascular disease
emergency department
insulin resistance
metabolic syndrome
data analysis
weight loss
skeletal muscle
adverse drug
case control