TY  - JOUR 
AU  - Gutierrez-Tobal, Gonzalo C.
AU  - Álvarez, Daniel
AU  - Kheirandish Gozal, Leila
AU  - Campo Matias, Félix del
AU  - Gozal, David
AU  - Hornero Sánchez, Roberto
PY  - 2022
UR  - https://uvadoc.uva.es/handle/10324/66130
AB  - Background
Machine-learning approaches have enabled promising results in efforts to simplify the diagnosis of pediatric obstructive sleep apnea (OSA). A comprehensive review and analysis of such studies increase the confidence level of practitioners...
LA  - eng
PB  - Wiley
TI  - Reliability of Machine Learning to Diagnose Pediatric Obstructive Sleep Apnea: Systematic Review and Meta-Analysis
DO  - https://doi.org/10.1002/ppul.25423
ER  -