The Sleep Revolution project: the concept and objectives
Obstructive sleep apnea is linked to severe health consequences such as hypertension,
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …
Applications of artificial intelligence and machine learning in respiratory medicine
The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI)
and machine learning techniques in medicine. This has been driven by the development of …
and machine learning techniques in medicine. This has been driven by the development of …
Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm
In this study, accurate and convenient prediction models of tubular solar still performance,
expressed as hourly production, were developed by utilizing machine learning. Based on …
expressed as hourly production, were developed by utilizing machine learning. Based on …
Discovering a robust machine learning model for predicting the productivity of a solar-driven humidification-dehumidification system
This work introduces a complete study of freshwater productivity prediction of a solar-driven
humidification-dehumidification unit (HDH) based on experimental and machine learning …
humidification-dehumidification unit (HDH) based on experimental and machine learning …
Stack performance classification and fault diagnosis optimization of solid oxide fuel cell system based on bayesian artificial neural network and feature selection
Solid oxide fuel cell (SOFC) has attracted much attention because of its high efficiency and
silent power generation, and can be applied to the field of fuel cell-powered unmanned …
silent power generation, and can be applied to the field of fuel cell-powered unmanned …
A convolutional neural network architecture to enhance oximetry ability to diagnose pediatric obstructive sleep apnea
F Vaquerizo-Villar, D Álvarez… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This study aims at assessing the usefulness of deep learning to enhance the diagnostic
ability of oximetry in the context of automated detection of pediatric obstructive sleep apnea …
ability of oximetry in the context of automated detection of pediatric obstructive sleep apnea …
A 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
The gold standard approach to diagnose obstructive sleep apnea (OSA) in children is
overnight in-lab polysomnography (PSG), which is labor-intensive for clinicians and onerous …
overnight in-lab polysomnography (PSG), which is labor-intensive for clinicians and onerous …
Association between obstructive sleep apnea (OSA) and atrial fibrillation (AF): a dose-response meta-analysis
D Zhang, Y Ma, J Xu, F Yi - Medicine, 2022 - journals.lww.com
Background: Refractory hypoxemia episodes are characteristic of obstructive sleep apnea
(OSA). Patients with OSA suffer from oxidative stress in all systems. Atrial fibrillation (AF) is a …
(OSA). Patients with OSA suffer from oxidative stress in all systems. Atrial fibrillation (AF) is a …
Application of artificial intelligence in the diagnosis of sleep apnea
Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …
disorders. This review aims to summarize the existing data about the role of ML techniques …
Research progress of respiratory disease and idiopathic pulmonary fibrosis based on artificial intelligence
G Zhang, L Luo, L Zhang, Z Liu - Diagnostics, 2023 - mdpi.com
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the
previously observed data through classifying, predicting, and optimizing to accomplish …
previously observed data through classifying, predicting, and optimizing to accomplish …