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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Heart, Lung, Blood and Sleep Disorders
Last data update: May 03, 2024
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U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205
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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
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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
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Positional sleep apnea phenotyping using machine learning and digital oximetry biomarkers.
Yuval Ben Sason et al. Physiol Meas
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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
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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)
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Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.
Gerui Zhang et al. Diagnostics (Basel, Switzerland) 2023 13(3)
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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
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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
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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
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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
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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
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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)
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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
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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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Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review.
Ferreira-Santos Daniela et al. Journal of medical Internet research 2022 24(9) e39452
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Logistic regression and artificial neural network-based simple predicting models for obstructive sleep apnea by age, sex, and body mass index.
Kuan Yi-Chun et al. Mathematical biosciences and engineering : MBE 2022 19(11) 11409-11421
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Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.
Brennan Hannah L et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2022 51(1) 16
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Study on Adherence to Positive Airway Pressure Treatment for Patients with Obstructive Sleep Apnea Using Real-world Big Data in a Telemedicine Management System.
Yi Huijie et al. Methods (San Diego, Calif.) 2022
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Deep Learning Application to Clinical Decision Support System in Sleep Stage Classification.
Kim Dongyoung et al. Journal of personalized medicine 2022 12(2)
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Acoustic Screening for Obstructive Sleep Apnea in Home Environments Based on Deep Neural Networks.
Romero Hector E et al. IEEE journal of biomedical and health informatics 2022 PP
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Detecting obstructive sleep apnea by craniofacial image-based deep learning.
He Shuai et al. Sleep & breathing = Schlaf & Atmung 2022
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Towards Validating the Effectiveness of Obstructive Sleep Apnea Classification from Electronic Health Records Using Machine Learning.
Ramesh Jayroop et al. Healthcare (Basel, Switzerland) 2021 9(11)
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In-home mandibular repositioning during sleep using MATRx plus predicts outcome and efficacious positioning for oral appliance treatment of obstructive sleep apnea.
Mosca Erin V et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2021
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Diagnostic Performance of Machine Learning-Derived Obstructive Sleep Apnea Prediction Tools in Large Clinical and Community-based Samples.
Holfinger Steven J et al. Chest 2021
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Management and Treatment of Patients With Obstructive Sleep Apnea Using an Intelligent Monitoring System Based on Machine Learning Aiming to Improve Continuous Positive Airway Pressure Treatment Compliance: Randomized Controlled Trial.
Turino Cecilia et al. Journal of medical Internet research 2021 23(10) e24072
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Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.
Hsu Yu-Ching et al. Journal of sleep research 2021 e13487
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Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning.
Gourishetti Saikrishna C et al. The Laryngoscope 2021
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Obstructive sleep apnea prediction from electrocardiogram scalograms and spectrograms using convolutional neural networks.
Nasifoglu Huseyin et al. Physiological measurement 2021
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Smart Wearables for Cardiac Monitoring-Real-World Use beyond Atrial Fibrillation.
Duncker David et al. Sensors (Basel, Switzerland) 2021 21(7)
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 03, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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