What's New

Last Posted: Sep 17, 2020

• 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
• Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals A Meta-analysis
  WA Akingbuwa et al, JAMA Psychiatry, July 1, 2020
• 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
• Artificial Intelligence in Sleep Medicine: An American Academy of Sleep Medicine Position Statement.
  Goldstein Cathy A et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2020 Feb
• Clinical Practice Guidelines for Achondroplasia.
  Kubota Takuo et al. Clinical pediatric endocrinology : case reports and clinical investigations : official journal of the Japanese Society for Pediatric Endocrinology 2020 29(1) 25-42
• Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea.
  Pépin Jean-Louis et al. JAMA network open 2020 Jan 3(1) e1919657
• Portable Detection of Apnea and Hypopnea Events using Bio-Impedance of the Chest and Deep Learning.
  Van Steenkiste Tom et al. IEEE journal of biomedical and health informatics 2020 Jan
• Support Vector Machine Prediction of Obstructive Sleep Apnea in a Large-Scale Chinese Clinical Sample.
  Huang Wen-Chi et al. Sleep 2020 Jan
• Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models.
  Jansen Christoph et al. Chaos (Woodbury, N.Y.) 2019 Dec 29(12) 123129
• Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study.
  Park Sungkyu et al. JMIR mHealth and uHealth 2019 Dec 7(12) e14473
• Diagnostic biomarkers for Parkinson's disease at a glance: where are we?
  Cova Ilaria et al. Journal of neural transmission (Vienna, Austria : 1996) 2018 125(10) 1417-1432