What's New

Last Posted: Dec 15, 2020

• A New Wearable System for Home Sleep Apnea Testing, Screening, and Classification.
  Manoni Alessandro et al. Sensors (Basel, Switzerland) 2020 Dec 20(24)
• Severity evaluation of obstructive sleep apnea based on speech features.
  Ding Yiming et al. Sleep & breathing = Schlaf & Atmung 2020 Oct
• Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach.
  Bremer Vincent et al. Journal of medical Internet research 2020 Oct 22(10) e17738
• Study on sleep-wake disorders in patients with genetic and non-genetic amyotrophic lateral sclerosis.
  Sun Xiaohan et al. Journal of neurology, neurosurgery, and psychiatry 2020 Oct
• Atrial fibrillation in older patients and artificial intelligence: a quantitative demonstration of a link with some of the geriatric multidimensional assessment tools-a preliminary report.
  Fumagalli Stefano et al. Aging clinical and experimental research 2020 Oct
• Dissecting the Association Between Inflammation, Metabolic Dysregulation, and Specific Depressive Symptoms: A Genetic Correlation and 2-Sample Mendelian Randomization Study.
  Kappelmann Nils et al. JAMA psychiatry 2020 Oct
• The impact of the HLA DQB1 gene and amino acids on the development of narcolepsy.
  Kachooei-Mohaghegh-Yaghoobi Leila et al. The International journal of neuroscience 2020 Oct 1-11
• Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.
  Irving Jessica et al. Schizophrenia bulletin 2020 Oct
• Performance Evaluation of the Circadia Contactless Breathing Monitor and Sleep Analysis Algorithm for Sleep Stage Classification.
  Lauteslager Timo et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020 Jul 20205150-5153
• An atlas on risk factors for type 2 diabetes: a wide-angled Mendelian randomisation study.
  Yuan Shuai et al. Diabetologia 2020 Sep
• Small Sleepers, Big Data: Leveraging Big Data to Explore Sleep Disordered Breathing in Infants and Young Children.
  Ehsan Zarmina et al. Sleep 2020 Sep
• Prediction of sleep-disordered breathing after stroke.
  Brown Devin L et al. Sleep medicine 2020 May 751-6
• Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records.
  Veatch Olivia J et al. BMC medical genomics 2020 Jul 13(1) 105
• How Will Genetics Inform the Clinical Care of Atrial Fibrillation?
  Shoemaker M Benjamin et al. Circulation research 2020 Jun 127(1) 111-127
• The relationship between machine-learning derived sleep parameters and behaviour problems in 3- and 5-year old children; results from the CHILD Cohort study.
  Hammam Nevin et al. Sleep 2020 Jun
• A machine learning approach predicts future risk to suicidal ideation from social media data.
  Roy Arunima et al. NPJ digital medicine 2020 378
• A novel machine learning unsupervised algorithm for sleep/wake identification using actigraphy.
  Li Xinyue et al. Chronobiology international 2020 Apr 1-14
• Integrating the STOP-BANG score and clinical data to predict cardiovascular events after infarction: A machine learning study.
  Calvillo-Argüelles Oscar et al. Chest 2020 Apr
• Detecting Sleep Using Heart Rate and Motion Data from Multisensor Consumer-Grade Wearables, Relative to Wrist Actigraphy and Polysomnography.
  Roberts Daniel M et al. Sleep 2020 Mar
• The future of sleep health: a data-driven revolution in sleep science and medicine
  NPJ Digital Medicine, March 23, 2020