Polysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea.

Andrey V ZinchukSangchoon JeonBrian B KooXiting YanDawn M BravataLi QinBernardo J SelimKingman P StrohlNancy S RedekerJohn ConcatoHenry K Yaggi

Published in: Thorax (2017)

Among patients referred for OSA evaluation, routine polysomnographic data can identify physiological phenotypes that capture risk of adverse cardiovascular outcomes otherwise missed by conventional OSA severity classification.

Keyphrases

positive airway pressure
obstructive sleep apnea
sleep apnea
machine learning
deep learning
electronic health record
physical activity
clinical practice
sleep quality
adverse drug
clinical evaluation