TY  - CHAP
AU  - Daniel Álvarez
AU  - Ana Cerezo-Hernández
AU  - Graciela López-Muñiz
AU  - 
Tania Álvaro-De Castro
AU  - Tomás Ruiz-Albi
AU  - Roberto Hornero
AU  - Félix
del Campo
ED  - Mayank G. Vats
Y1  - 2017-04-05
PY  - 2017
T1  - Usefulness of Artificial Neural Networks in the Diagnosis and Treatment of Sleep Apnea-Hypopnea Syndrome
N2  - Sleep medicine is developing rapidly with more than 100 sleep disorders discovered till now. Despite that, sleep specialty is in neonatal stage especially in developing and underdeveloped countries. Sleep medicine is still evolving with ongoing worldwide clinical research, training programs, and changes in the insurance policy disseminating more awareness in physicians and patients. Sleep apnea is one of the most common sleep disorders,  found in around 5-7 % of the general population with high prevalence in the obese, elderly individuals but largely unrecognized and hence undiagnosed with untreated and life-threatening consequences. In the last decade, new complex sleep disorders and their pathophysiology have been discovered, new treatment options (pharmacological and nonpharmacological) are available, and hence we planned a book on the recent developments on the most common sleep disorder, sleep apnea. We have incorporated chapters from the eminent clinicians and authors around the globe to produce a state-of-the-art book with the target audience from internal medicine, pulmonary, sleep medicine, neurology, ENT, and psychiatry discipline.
BT  - Sleep Apnea
SP  - Ch. 3
UR  - https://doi.org/10.5772/66570
DO  - 10.5772/66570
SN  - 978-953-51-3056-7
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-24
ER  -