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Precision Health Database


Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)

Last data update: Apr 15, 2024. (Total: 63553 Documents since 2012)
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Query Trace: Sleep Disorders[original query]
Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource.
Jingsong Luo et al. Psychol Res Behav Manag 2024 17691-703
U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205
Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice.
Huijun Yue et al. Sleep Med Rev 2024 74101897
Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data.
Yonghan Cha et al. Medicina (Kaunas) 2023 59(12)
Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy.
Nina de Lacy et al. Front Psychiatry 2023 141280326
Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring.
Massimiliano Grassi et al. Front Artif Intell 2023 61278593
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
Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning.
Umaer Hanif et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-5
Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.
Anuja Bandyopadhyay et al. J Clin Sleep Med 2023
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
Applications of artificial intelligence-machine learning for detection of stress: a critical overview.
Alexios-Fotios A Mentis et al. Molecular psychiatry 2023
Predicting benzodiazepine prescriptions: A proof-of-concept machine learning approach.
Kerry L Kinney et al. Frontiers in psychiatry 2023 141087879
Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis
S Lee et al, NPJ Digital Medicine, March 25, 2023
Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study.
Gerard Anmella et al. JMIR mHealth and uHealth 2023
Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders.
Bryan Peide Choo et al. Frontiers in neurology 2023 141123935
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)
Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.
Tony Robinson et al. International journal of environmental research and public health 2023 20(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
Initial antidepressant choice by non-psychiatrists: Learning from large-scale electronic health records.
Yi-Han Sheu et al. General hospital psychiatry 2023 8122-31
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
Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling.
Mingfu Nuo et al. Journal of medical Internet research 2023 25e42856
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
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
A Machine Learning Approach for Detecting Idiopathic REM Sleep Behavior Disorder.
Salsone Maria et al. Diagnostics (Basel, Switzerland) 2022 12(11)
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson's Disease: Past Studies and Future Perspectives.
Rana Arti et al. Diagnostics (Basel, Switzerland) 2022 12(11)
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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