AIMC Topic: Sleep Apnea, Obstructive
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Exploring the complexity of obstructive sleep apnea: findings from machine learning on diagnosis and predictive capacity of individual factors.
Sleep & breathing = Schlaf & Atmung
Dec 5, 2024
PURPOSE: Obstructive sleep apnoea (OSA) is a prevalent sleep disorder characterized by pharyngeal airway collapse during sleep, leading to intermittent hypoxia, intrathoracic pressure swings, and sleep fragmentation. OSA is associated with various co...
Artificial intelligence facial recognition of obstructive sleep apnea: a Bayesian meta-analysis.
Sleep & breathing = Schlaf & Atmung
Nov 30, 2024
PURPOSE: Conventional obstructive sleep apnea (OSA) diagnosis via polysomnography can be costly and inaccessible. Recent advances in artificial intelligence (AI) have enabled the use of craniofacial photographs to diagnose OSA. This meta-analysis aim...
Assessment of simulated snoring sounds with artificial intelligence for the diagnosis of obstructive sleep apnea.
Sleep medicine
Nov 16, 2024
BACKGROUND: Performing simulated snoring (SS) is a commonly used method to evaluate the source of snoring in obstructive sleep apnea (OSA). SS sounds is considered as a potential biomarker for OSA. SS sounds can be easily recorded, which is a cost-ef...
A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.
Journal of sleep research
Oct 24, 2024
Obstructive sleep apnea is a heterogeneous sleep disorder with varying phenotypes. Several studies have already performed cluster analyses to discover various obstructive sleep apnea phenotypic clusters. However, the selection of the clustering metho...
IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis.
Neural networks : the official journal of the International Neural Network Society
Oct 20, 2024
Obstructive sleep apnea (OSA) is a common sleep breathing disorder and timely diagnosis helps to avoid the serious medical expenses caused by related complications. Existing deep learning (DL)-based methods primarily focus on single-modal models, whi...
Navigating ChatGPT's alignment with expert consensus on pediatric OSA management.
International journal of pediatric otorhinolaryngology
Oct 15, 2024
OBJECTIVE: This study aimed to evaluate the potential integration of artificial intelligence (AI), specifically ChatGPT, into healthcare decision-making, focusing on its alignment with expert consensus statements regarding the management of persisten...
Machine-learning-based classification of obstructive sleep apnea using 19-channel sleep EEG data.
Sleep medicine
Sep 29, 2024
OBJECTIVE: This study aimed to investigate the neurophysiological effects of obstructive sleep apnea (OSA) using multi-channel sleep electroencephalography (EEG) through machine learning methods encompassing various analysis methodologies including p...
Construction and evaluation of a predictive model for the types of sleep respiratory events in patients with OSA based on hypoxic parameters.
Sleep & breathing = Schlaf & Atmung
Aug 29, 2024
OBJECTIVE: To explore the differences and associations of hypoxic parameters among distinct types of respiratory events in patients with obstructive sleep apnea (OSA) and to construct prediction models for the types of respiratory events based on hyp...
Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.
Sleep & breathing = Schlaf & Atmung
Aug 27, 2024
PURPOSE: This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Twistable and Stretchable Nasal Patch for Monitoring Sleep-Related Breathing Disorders Based on a Stacking Ensemble Learning Model.
ACS applied materials & interfaces
Aug 27, 2024
Obstructive sleep apnea syndrome disrupts sleep, destroys the homeostasis of biological systems such as metabolism and the immune system, and reduces learning ability and memory. The existing polysomnography used to measure sleep disorders is execute...
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