Machines Learning to Detect Obstructive Sleep Apnea in Children. Are We There Yet?
- PMID: 28849948
- PMCID: PMC5754450
- DOI: 10.1164/rccm.201708-1688ED
Machines Learning to Detect Obstructive Sleep Apnea in Children. Are We There Yet?
Comment on
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Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.Am J Respir Crit Care Med. 2017 Dec 15;196(12):1591-1598. doi: 10.1164/rccm.201705-0930OC. Am J Respir Crit Care Med. 2017. PMID: 28759260 Free PMC article.
References
-
- Marcus CL, Brooks LJ, Draper KA, Gozal D, Halbower AC, Jones J, Schechter MS, Sheldon SH, Spruyt K, Ward SD, et al. American Academy of Pediatrics. Diagnosis and management of childhood obstructive sleep apnea syndrome. Pediatrics. 2012;130:576–584. - PubMed
-
- Gozal D, Kheirandish-Gozal L, Bhattacharjee R, Spruyt K. Neurocognitive and endothelial dysfunction in children with obstructive sleep apnea. Pediatrics. 2010;126:e1161–e1167. - PubMed
-
- Amin RS, Kimball TR, Kalra M, Jeffries JL, Carroll JL, Bean JA, Witt SA, Glascock BJ, Daniels SR. Left ventricular function in children with sleep-disordered breathing. Am J Cardiol. 2005;95:801–804. - PubMed
-
- Bourke RS, Anderson V, Yang JS, Jackman AR, Killedar A, Nixon GM, Davey MJ, Walker AM, Trinder J, Horne RS. Neurobehavioral function is impaired in children with all severities of sleep disordered breathing. Sleep Med. 2011;12:222–229. - PubMed
-
- The American Board of Pediatrics. Pediatric physicians workforce data book 2016-2017. Chapel Hill, NC: American Board of Pediatrics; 2017 [accessed 2017 Aug 2] Available from: https://www.abp.org/sites/abp/files/pdf/pediatricphysiciansworkforcebook....
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