Sleep apnea phenotyping and relationship to disease in a large clinical biobank.
Sleep apnea is associated with a broad range of pathophysiology. While electronic health record (EHR) information has the potential for revealing relationships between sleep apnea and associated risk factors and outcomes, practical challenges hinder its use. Our objectives were to develop a sleep apnea phenotyping algorithm that improves the precision of EHR case/control information using natural language processing (NLP); identify novel associations between sleep apnea and comorbidities in a large [...]
Author(s): Cade, Brian E, Hassan, Syed Moin, Dashti, Hassan S, Kiernan, Melissa, Pavlova, Milena K, Redline, Susan, Karlson, Elizabeth W
DOI: 10.1093/jamiaopen/ooab117