A new Berlin questionnaire simplified by machine learning techniques in a population of Italian healthcare workers to highlight the suspicion of obstructive sleep …

G De Nunzio, L Conte, R Lupo, E Vitale… - Frontiers in …, 2022 - frontiersin.org
Obstructive sleep apnea (OSA) syndrome is a condition characterized by the presence of
repeated complete or partial collapse of the upper airways during sleep associated with …

Machine learning identification of obstructive sleep apnea severity through the patient clinical features: a retrospective study

A Maniaci, PM Riela, G Iannella, JR Lechien… - Life, 2023 - mdpi.com
Objectives: To evaluate the role of clinical scores assessing the risk of disease severity in
patients with clinical suspicion of obstructive sleep apnea syndrome (OSA). The hypothesis …

SANReSP: A new Italian questionnaire to screen patients for obstructive sleep apnea

S Romano, A Lo Bue, A Salvaggio, LVF Oliveira… - Plos one, 2022 - journals.plos.org
Purpose Obstructive sleep apnea (OSA) is a common, prevalent, and underdiagnosed
disorder. Its lack of diagnosis and treatment is associated with increased morbidity and …

Risk of obstructive sleep apnea among health workers: results of a screening in a large Italian University Hospital

G Spiteri, MGL Monaco, A Carta, F Taus… - International Archives of …, 2024 - Springer
Purpose Obstructive sleep apnea (OSA) is a common respiratory sleep disorder, related to
increased mortality, poor quality of life, and higher risk of work accidents and injuries …

Validity and reliability of the Berlin questionnaire for the detection of moderate or severe obstructive sleep apnea in patients aged 40 years or older detected from …

E Navarrete-Martínez, R Muñoz-Gómez… - Frontiers in …, 2023 - frontiersin.org
Background The obstructive sleep apnea syndrome (OSA) is a highly prevalent condition. In
Spain and other countries, only 5%–9% of patients with OSA have been diagnosed and …

BASH-GN: a new machine learning–derived questionnaire for screening obstructive sleep apnea

J Huo, SF Quan, J Roveda, A Li - Sleep and Breathing, 2023 - Springer
Purpose This study aimed to develop a machine learning–based questionnaire (BASH-GN)
to classify obstructive sleep apnea (OSA) risk by considering risk factor subtypes. Methods …

Obstructive sleep apnea syndrome (OSAS). What's new?

B Ruaro, E Baratella, M Confalonieri… - Frontiers in …, 2022 - frontiersin.org
This Research Topic entitled “Obstructive sleep apnea syndrome (OSAS). What's new?”,
involving authors from different specializations and numerous countries, confirms that OSAS …

Diagnosis of obstructive sleep apnea in patients with associated comorbidity

F Del Campo, CA Arroyo, C Zamarrón… - Advances in the Diagnosis …, 2022 - Springer
Obstructive sleep apnea (OSA) is a heterogeneous disease with many physiological
implications. OSA is associated with a great diversity of diseases, with which it shares …

Development and application of a machine learning-based predictive model for obstructive sleep apnea screening

K Liu, S Geng, P Shen, L Zhao, P Zhou, W Liu - Frontiers in big Data, 2024 - frontiersin.org
Objective To develop a robust machine learning prediction model for the automatic
screening and diagnosis of obstructive sleep apnea (OSA) using five advanced algorithms …

Obstructive sleep apnea syndrome and public health: the Italian way

A Sanna, D Passali, M De Benedetto, G Marano… - Sleep and …, 2017 - Springer
Dear Editor, Obstructive sleep apnea syndrome (OSAS) is an underdiagnosed chronic
disease with a very high prevalence in adults. Patients with untreated OSAS are at …