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References from Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review. Local targets link to admitted publications; unresolved targets remain external evidence.
Worldwide prevalence and associated risk factors of obstructive sleep apnea: a meta-analysis and meta-regression
10.1007/s11325-023-02810-7 · 2023 · External reference
10.1016/s2213-2600(19)30198-5
10.1016/s2213-2600(19)30198-5 · External reference
10.1016/j.smrv.2016.07.002
10.1016/j.smrv.2016.07.002 · External reference
Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults
10.5664/jcsm.27497 · 2009 · External reference
10.5664/jcsm.6506
10.5664/jcsm.6506 · External reference
Metrics of sleep apnea severity: beyond the apnea-hypopnea index
10.1093/sleep/zsab030 · 2021 · External reference
10.1378/chest.14-0970
10.1378/chest.14-0970 · External reference
Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective
10.1007/s11325-022-02592-4 · 2023 · External reference
Obstructive sleep apnea detection based on sleep sounds via deep learning
10.2147/nss.s373367 · 2022 · External reference
Unresolved reference
2019 · External reference
A review of obstructive sleep apnea detection approaches
10.1109/jbhi.2018.2823265 · 2019 · External reference
A survey on recent advances in machine learning based sleep apnea detection systems
2021 · External reference
Enabling early obstructive sleep apnea diagnosis with machine learning: systematic review
10.2196/39452 · 2022 · External reference
Exploring PubMed as a reliable resource for scholarly communications services
2019 · External reference
Obstructive sleep apnoea syndrome screening through wrist-worn smartbands: a machine-learning approach
10.2147/nss.s352335 · 2022 · External reference
Comparison of support vector machine based on genetic algorithm with logistic regression to diagnose obstructive sleep apnea
10.4103/jrms.jrms_357_17 · 2018 · External reference
Investigation on factors related to poor CPAP adherence using machine learning: a pilot study
10.1038/s41598-022-21932-8 · 2022 · External reference
Mortality patterns associated with central sleep apnea among veterans: a large, retrospective, longitudinal report
10.1513/annalsats.202207-648oc · 2023 · External reference
The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study
10.1093/eurheartj/ehy624 · 2019 · External reference
A multisite randomized trial of portable sleep studies and positive airway pressure autotitration versus laboratory-based polysomnography for the diagnosis and treatment of obstructive sleep apnea: the HomePAP study
10.5665/sleep.1870 · 2012 · External reference
Belun Ring Platform: a novel home sleep apnea testing system for assessment of obstructive sleep apnea
10.5664/jcsm.8592 · 2020 · External reference
10.1093/aje/kws342
10.1093/aje/kws342 · External reference
Global prevalence of obstructive sleep apnea in the elderly and related factors: a systematic review and meta-analysis study
10.1016/j.jopan.2023.01.018 · 2023 · External reference
Mitigation measures for addressing gender bias in artificial intelligence within healthcare settings: a critical area of sociological inquiry
2024 · External reference
10.1126/science.aax2342
10.1126/science.aax2342 · External reference
Review of multimodal machine learning approaches in healthcare
10.1016/j.inffus.2024.102690 · 2025 · External reference
Unresolved reference
2000 · External reference
Diagnostic Performance of Machine Learning-Derived OSA Prediction Tools in Large Clinical and Community-Based Samples
10.1016/j.chest.2021.10.023 · 2022 · External reference
From biobank and data silos into a data commons: convergence to support translational medicine
10.1186/s12967-021-03147-z · 2021 · External reference
Overfitting, underfitting and general model overconfidence and under-performance pitfalls and best practices in machine learning and AI
2024 · External reference
10.21203/rs.3.rs-6307069/v1
10.21203/rs.3.rs-6307069/v1 · External reference
The breakthrough of large language models release for medical applications: 1-year timeline and perspectives
10.1007/s10916-024-02045-3 · 2024 · External reference
Large language models in medicine: the potentials and pitfalls: a narrative review
10.7326/m23-2772 · 2024 · External reference
Text mining business intelligence: a small sample of what words can say
10.1016/j.procs.2015.07.044 · 2015 · External reference
Smart literature review: a practical topic modelling approach to exploratory literature review
10.1186/s40537-019-0255-7 · 2019 · External reference
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
10.1038/s41746-021-00549-7 · 2022 · External reference
Practical considerations and applied examples of cross-validation for model development and evaluation in health care: tutorial
10.2196/49023 · 2023 · External reference
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
10.1038/s41746-020-0288-5 · 2020 · External reference
Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction
10.1038/s43856-022-00165-w · 2022 · External reference