Sleep apnea phenotyping and relationship to disease in a large clinical biobank.

Brian E CadeSyed Moin HassanHassan S DashtiMelissa KiernanMilena K PavlovaSusan RedlineElizabeth W Karlson

Published in: JAMIA open (2022)

An NLP-informed algorithm can improve the accuracy of case-control sleep apnea ascertainment and thus improve the performance of phenome-wide, genetic, and other EHR analyses of a highly prevalent disorder.

Keyphrases

sleep apnea
case control
positive airway pressure
obstructive sleep apnea
machine learning
high throughput
deep learning
electronic health record
genome wide
dna methylation