Neurology

Sleep Disorders

Latest AI and machine learning research in sleep disorders for healthcare professionals.

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Showing 295-315 of 2,814 articles
Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis.

A psychological disorder is a mutilation state of the body that intervenes the imperative functionin...

May 2019 31139933
A RR interval based automated apnea detection approach using residual network.

BACKGROUND AND OBJECTIVE: Apnea is one of the most common conditions that causes sleep-disorder brea...

May 2019 31200916
A deep learning-based decision support system for diagnosis of OSAS using PTT signals.

Sleep disorders, which negatively affect an individual's daily quality of life, are a common problem...

Mar 2019 31088639
Non-invasive machine learning estimation of effort differentiates sleep-disordered breathing pathology.

OBJECTIVE: Obstructive sleep-disordered breathing (SDB) events, unlike central events, are associate...

Feb 2019 30736016
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

Automatic sleep staging has been often treated as a simple classification problem that aims at deter...

(3)
Jan 2019 30716040
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...

(2)
Jan 2019 30610202
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.

Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apne...

Dec 2018 30530344
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy.

Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently req...

Dec 2018 30523329
Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy.

Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. Howeve...

(1)
Nov 2018 30421469
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.

BACKGROUND: Automatic sleep stage classification is essential for long-term sleep monitoring. Wearab...

Oct 2018 30342269
Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy.

BACKGROUND: Patients suffering obstructive sleep apnea are mainly treated with continuous positive a...

Sep 2018 30227856
Exploring the clinical features of narcolepsy type 1 versus narcolepsy type 2 from European Narcolepsy Network database with machine learning.

Narcolepsy is a rare life-long disease that exists in two forms, narcolepsy type-1 (NT1) or type-2 (...

Jul 2018 30006563
Real-time apnea-hypopnea event detection during sleep by convolutional neural networks.

Sleep apnea-hypopnea event detection has been widely studied using various biosignals and algorithms...

Jun 2018 29990645
Comparison of radiofrequency and transoral robotic surgery in obstructive sleep apnea syndrome treatment.

INTRODUCTION: Radiofrequency tissue ablation (RFTA) and transoral robotic surgery (TORS) are the met...

(1)
Jan 2018 29298526
Sleep in patients with disorders of consciousness characterized by means of machine learning.

Sleep has been proposed to indicate preserved residual brain functioning in patients suffering from ...

(2)
Jan 2018 29293607
Changes in Sleep-Wake Behavior Due to Lotus () Seed and Hwang Jeong () Extracts.

We evaluated the sleep enhancement activity of the medicinal herbs valerian (), jujube (), lotus see...

(2)
Dec 2017 29333381
Diagnostic utility of serum melatonin levels in systemic lupus erythematosus: a case-control study.

Systemic lupus erythematosus (SLE) is a chronic systemic autoimmune inflammatory disease and early d...

Dec 2017 29320843
Phase Relationship between DLMO and Sleep Onset and the Risk of Metabolic Disease among Normal Weight and Overweight/Obese Adults.

Circadian misalignment is hypothesized to contribute to increased diabetes and obesity among shift w...

Dec 2017 29262758
Can Statistical Machine Learning Algorithms Help for Classification of Obstructive Sleep Apnea Severity to Optimal Utilization of Polysomnography Resources?

OBJECTIVES: The goal of this study is to evaluate the results of machine learning methods for the cl...

Jun 2017 28590499
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