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 …

Decision tree based diagnostic system for moderate to severe obstructive sleep apnea

H Ting, YT Mai, HC Hsu, HC Wu, MH Tseng - Journal of medical systems, 2014 - Springer
One of the major modern medical issues, obstructive sleep apnea (OSA), particularly at
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 …

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 …

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

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 …

[HTML][HTML] Prediction models for obstructive sleep apnea in Korean adults using machine learning techniques

YJ Kim, JS Jeon, SE Cho, KG Kim, SG Kang - Diagnostics, 2021 - mdpi.com
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 …

[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 …

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 …

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 …

Automatic respiratory event scoring in obstructive sleep apnea using a long short-term memory neural network

S Nikkonen, H Korkalainen, A Leino… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
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 …