Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis
Background The breathing disorder obstructive sleep apnea syndrome (OSAS) only occurs
while asleep. While polysomnography (PSG) represents the premiere standard for …
while asleep. While polysomnography (PSG) represents the premiere standard for …
SelANet: decision-assisting selective sleep apnea detection based on confidence score
B Bark, B Nam, IY Kim - BMC Medical Informatics and Decision Making, 2023 - Springer
Background One of the most common sleep disorders is sleep apnea syndrome. To
diagnose sleep apnea syndrome, polysomnography is typically used, but it has limitations in …
diagnose sleep apnea syndrome, polysomnography is typically used, but it has limitations in …
Accuracy and usability of AcuPebble SA100 for automated diagnosis of obstructive sleep apnoea in the home environment setting: an evaluation study
Objectives Obstructive sleep apnoea (OSA) is a heavily underdiagnosed condition, which
can lead to significant multimorbidity. Underdiagnosis is often secondary to limitations in …
can lead to significant multimorbidity. Underdiagnosis is often secondary to limitations in …
Diagnosis of obstructive sleep apnea using feature selection, classification methods, and data grouping based age, sex, and race
Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3–
7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer …
7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer …
BASH-GN: a new machine learning–derived questionnaire for screening obstructive sleep apnea
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 …
to classify obstructive sleep apnea (OSA) risk by considering risk factor subtypes. Methods …
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry
Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence,
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …
although diagnosis remains a challenge. Existing home sleep tests may provide acceptable …
[HTML][HTML] Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study
S Ha, SJ Choi, S Lee, RH Wijaya, JH Kim… - Journal of medical …, 2023 - jmir.org
Background Sleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia
and sleep apnea (COMISA), and insomnia are common and can have serious health …
and sleep apnea (COMISA), and insomnia are common and can have serious health …
Development and validation of a simple-to-use clinical nomogram for predicting obstructive sleep apnea
H Xu, X Zhao, Y Shi, X Li, Y Qian, J Zou, H Yi… - BMC pulmonary …, 2019 - Springer
Background The high cost and low availability of polysomnography (PSG) limits the timely
diagnosis of OSA. Herein, we developed and validated a simple-to-use nomogram for …
diagnosis of OSA. Herein, we developed and validated a simple-to-use nomogram for …
Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study
S Tsuiki, T Nagaoka, T Fukuda, Y Sakamoto… - Sleep and …, 2021 - Springer
Purpose In 2-dimensional lateral cephalometric radiographs, patients with severe
obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non …
obstructive sleep apnea (OSA) exhibit a more crowded oropharynx in comparison with non …
[PDF][PDF] Logistic regression and artificial neural network-based simple predicting models for obstructive sleep apnea by age, sex, and body mass index
Age, sex, and body mass index (BMI) were associated with obstructive sleep apnea (OSA).
Although various methods have been used in OSA prediction, this study aimed to develop …
Although various methods have been used in OSA prediction, this study aimed to develop …