Explainable computer-aided detection of obstructive sleep apnea and depression
MM Moussa, Y Alzaabi, AH Khandoker - IEEE Access, 2022 - ieeexplore.ieee.org
Obstructive Sleep Apnea Syndrome (OSAS) and Major Depressive Disorder (MDD) are
common conditions associated with poor quality of life. In this work, we aim to classify OSAS …
common conditions associated with poor quality of life. In this work, we aim to classify OSAS …
Decision tree based diagnostic system for moderate to severe obstructive sleep apnea
One of the major modern medical issues, obstructive sleep apnea (OSA), particularly at
moderate to severe levels, may potentially cause cardiovascular morbidity and mortality …
moderate to severe levels, may potentially cause cardiovascular morbidity and mortality …
[HTML][HTML] Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea
X Yan, L Wang, C Liang, H Zhang, Y Zhao… - Frontiers in …, 2022 - frontiersin.org
Background OSA is an independent risk factor for several systemic diseases. Compared
with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the …
with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the …
Multisite validation of a simple electronic health record algorithm for identifying diagnosed obstructive sleep apnea
BT Keenan, HL Kirchner, OJ Veatch… - Journal of Clinical …, 2020 - jcsm.aasm.org
Study Objectives: We examined the performance of a simple algorithm to accurately
distinguish cases of diagnosed obstructive sleep apnea (OSA) and noncases using the …
distinguish cases of diagnosed obstructive sleep apnea (OSA) and noncases using the …
[HTML][HTML] A new Berlin questionnaire simplified by machine learning techniques in a population of Italian healthcare workers to highlight the suspicion of obstructive …
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 …
repeated complete or partial collapse of the upper airways during sleep associated with …
[HTML][HTML] Prediction models for obstructive sleep apnea in Korean adults using machine learning techniques
This study aimed to investigate the applicability of machine learning to predict obstructive
sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 …
sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 …
[HTML][HTML] Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review
H Yang, S Lu, L Yang - Systematic Reviews, 2024 - Springer
Background Obstructive sleep apnea (OSA) is a common sleep disorder characterized by
repetitive cessation or reduction in airflow during sleep. Stroke patients have a higher risk of …
repetitive cessation or reduction in airflow during sleep. Stroke patients have a higher risk of …
Machine learning for sleep apnea detection with unattended sleep monitoring at home
S Kristiansen, K Nikolaidis, T Plagemann… - ACM Transactions on …, 2021 - dl.acm.org
Sleep apnea is a common and strongly under-diagnosed severe sleep-related respiratory
disorder with periods of disrupted or reduced breathing during sleep. To diagnose sleep …
disorder with periods of disrupted or reduced breathing during sleep. To diagnose sleep …
SleepAp: an automated obstructive sleep apnoea screening application for smartphones
J Behar, A Roebuck, M Shahid, J Daly… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Obstructive sleep apnoea (OSA) is a sleep disorder with long-term consequences. Long-
term effects include sleep-related issues and cardiovascular diseases. OSA is often …
term effects include sleep-related issues and cardiovascular diseases. OSA is often …
Automatic respiratory event scoring in obstructive sleep apnea using a long short-term memory neural network
The diagnosis of obstructive sleep apnea is based on daytime symptoms and the frequency
of respiratory events during the night. The respiratory events are scored manually from …
of respiratory events during the night. The respiratory events are scored manually from …