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Last Posted: Jun 25, 2024

• OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics.
  Amlan Talukder et al. Comput Biol Med 2024 178108777
• A robust deep learning system for screening of obstructive sleep apnea using T-F spectrum of ECG signals.
  Kapil Gupta et al. Comput Methods Biomech Biomed Engin 2024 1-13
• A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators.
  Jiewei Huang et al. Nat Sci Sleep 2024 16413-428
• U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
  Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205
• Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals.
  Jingyuan You et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4
• Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.
  Zachary Strumpf et al. Sleep Health 2023
• Positional sleep apnea phenotyping using machine learning and digital oximetry biomarkers.
  Yuval Ben Sason et al. Physiol Meas
• Application of artificial intelligence in the diagnosis of sleep apnea.
  George Bazoukis et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2023
• Design and Conceptual Proposal of an Intelligent Clinical Decision Support System for the Diagnosis of Suspicious Obstructive Sleep Apnea Patients from Health Profile.
  Manuel Casal-Guisande et al. International journal of environmental research and public health 2023 20(4)
• Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.
  Gerui Zhang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
• The role of artificial intelligence in the treatment of obstructive sleep apnea.
  Hannah L Brennan et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2023 52(1) 7
• Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature.
  Pengfei Ye et al. American journal of otolaryngology 2023 44(2) 103714
• Identifying Predictors of Adherence to the Physical Activity Goal: A Secondary Analysis of the SMARTER Weight Loss Trial.
  Bizhanova Zhadyra et al. Medicine and science in sports and exercise 2022
• Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study.
  Shi Yewen et al. Frontiers in cardiovascular medicine 2022 91042996
• Personalized Medicine and Obstructive Sleep Apnea
  SQ Quy et al, J Per Med, December 2022
• Evaluating an under-mattress sleep monitor compared to a peripheral arterial tonometry home sleep apnea test device in the diagnosis of obstructive sleep apnea.
  Jagielski Jack T et al. Sleep & breathing = Schlaf & Atmung 2022
• Quantifying the phenome-wide disease burden of obesity using electronic health records and genomics.
  Robinson Jamie R et al. Obesity (Silver Spring, Md.) 2022
• A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram.
  Setiawan Febryan et al. Life (Basel, Switzerland) 2022 12(10)
• Predictors of Adherence to Stroke Prevention in the BALKAN-AF Study: A Machine-Learning Approach.
  Koziel-Siolkowska Monika et al. TH open : companion journal to thrombosis and haemostasis 2022 6(3) e283-e290
• Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging.
  Pang Bo et al. Journal of sleep research 2022 e13729

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