AIMC Topic: Sleep Wake Disorders
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Modelling PTSD diagnosis using sleep, memory, and adrenergic metabolites: An exploratory machine-learning study.
Human psychopharmacology
Feb 22, 2019
OBJECTIVE: Features of posttraumatic stress disorder (PTSD) typically include sleep disturbances, impaired declarative memory, and hyperarousal. This study evaluated whether these combined features may accurately delineate pathophysiological changes ...
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.
International journal of environmental research and public health
Feb 19, 2019
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environme...
Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy.
Journal of sleep research
Nov 13, 2018
Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. However, the only widely accepted method to obtain sleep staging is by visual analysis of polysomnography (PSG), which is expensive and time consuming. Here...
Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.
Asian journal of psychiatry
Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Scientific reproducibility is key to scientific progress as it allows the research community to build on validated results, protect patients from potentially harmful trial drugs derived from incorrect results, and reduce wastage of valuable resources...
Relationship between obstructive sleep apnea cardiac complications and sleepiness in children with Down syndrome.
Sleep medicine
Oct 23, 2015
OBJECTIVE/BACKGROUND: Children with Down syndrome (DS) have a high rate of pulmonary hypertension and sleepiness. They also have a high prevalence of obstructive sleep apnea syndrome (OSAS). We hypothesized that OSAS was associated with cardiovascula...
Hugan Tiaoshen Formula Improves the Comorbid Mechanism of Schizophrenia and Sleep Disorder via Multitarget Interaction Network.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Jun 30, 2025
This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncover the molecular basis of schizophrenia (SCZ) and sleep disorder (SD) comorbidity and to systematically analyze the potential mechanism of the Hugan T...
Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.
Sleep
Jun 13, 2025
The National Center on Sleep Disorders Research of the National Heart, Lung, and Blood Institute at the National Institutes of Health hosted a 2-day virtual workshop titled Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and ...
Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques.
Scientific reports
May 13, 2025
Adequate sleep is crucial for maintaining a healthy lifestyle, and its deficiency can lead to various sleep-related disorders. Identifying these disorders early is essential for effective treatment, which traditionally relies on polysomnogram (PSG) t...
Identifying Symptom Information in Clinical Notes Using Natural Language Processing.
Nursing research
May 13, 2025
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used ...
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