Machine Learning Identification of Obstructive Sleep Apnea Severity through the Patient Clinical Features: A Retrospective Study.

Antonino Maniaci Paolo Marco Riela Giannicola Iannella Jérôme René LechienIgnazio La MantiaMarco De VincentiisGiovanni Cammaroto Christian Calvo-HenríquezMilena Di LucaCarlos-Miguel Chiesa-EstombaAlberto Maria SaibeneIsabella PollicinaGiovanna StiloPaola Di Mauro Angelo Cannavicci Rodolfo Lugo SaldañaGiuseppe MagliuloAntonio Greco Annalisa PaceGiuseppe MeccarielloSalvatore CocuzzaClaudio Vicini

Published in: Life (Basel, Switzerland) (2023)

Artificial intelligence could be applied to patients with symptoms related to OSA to identify individuals with a severe OSA risk with clinical-based algorithms in the OSA framework.

Keyphrases

obstructive sleep apnea
artificial intelligence
machine learning
positive airway pressure
big data
deep learning
sleep apnea
case report
physical activity
drug induced