Advancing an Algorithm for the Identification of Patients with High Data-Continuity in Electronic Health Records.

David Merola Sebastian G SchneeweissYinzhu JinJoyce LiiKueiyu Joshua Lin

Published in: Clinical epidemiology (2022)

Adding demographic and healthcare utilization variables significantly improved the model performance. Patients with high predicted EHR-continuity had less misclassification of study variables compared to the remaining population in both ICD-9 and 10 eras.

Keyphrases

electronic health record
healthcare
clinical decision support
adverse drug
machine learning
deep learning
artificial intelligence
bioinformatics analysis
data analysis