Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review

BACKGROUND: American Academy of Sleep Medicine guidelines suggest that clinical prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) without replacing polysomnography, the gold standard. OBJECTIVE: We aimed to identify, gather, and analyze existing machine learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferreira-Santos, Daniela, Amorim, Pedro, Silva Martins, Tiago, Monteiro-Soares, Matilde, Pereira Rodrigues, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568812/
https://www.ncbi.nlm.nih.gov/pubmed/36178720
http://dx.doi.org/10.2196/39452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568812/
https://www.ncbi.nlm.nih.gov/pubmed/36178720
http://dx.doi.org/10.2196/39452

Ejemplares similares