[HTML][HTML] Enabling early obstructive sleep apnea diagnosis with machine learning: systematic review

D Ferreira-Santos, P Amorim, T Silva Martins… - Journal of Medical …, 2022 - jmir.org
Background American Academy of Sleep Medicine guidelines suggest that clinical
prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) …

Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea

X Yan, L Wang, C Liang, H Zhang, Y Zhao… - Frontiers in …, 2022 - frontiersin.org
Background OSA is an independent risk factor for several systemic diseases. Compared
with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the …

A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury

Y Li, J Xu, Y Wang, Y Zhang, W Jiang… - Clinical …, 2020 - Wiley Online Library
Background Cardiac surgery‐associated acute kidney injury (CSA‐AKI) is a well‐
recognized complication with an ominous outcome. Hypothesis Bayesian networks (BNs) …

The use of the sleep apnea-specific hypoxic burden to predict obstructive sleep apnea hypopnea syndrome: evidence from a large cross-sectional study

C Li, Y Gao, W Huang, H Xu, Y Liu, J Zou, H Zhu, X Li… - Sleep Medicine, 2023 - Elsevier
Objectives Obstructive sleep apnea hypopnea syndrome (OSA) is an independent risk factor
for neurocognitive and behavioral problems and cardiovascular and metabolic morbidities …

An intelligent deep feature based metabolism syndrome prediction system for sleep disorder diseases

PR Anisha, C Kishor Kumar Reddy… - Multimedia Tools and …, 2024 - Springer
Abstract The Obstructive Sleep Apnea (OSA) analysis and prediction is the hottest topic in
the medical healthcare industry. However, identifying the sleep disorder and its Severity is …

Interaction between obstructive sleep apnea and short sleep duration on insulin resistance: a large-scale study: OSA, short sleep duration and insulin resistance

H Xu, C Liang, J Zou, H Yi, J Guan, M Gu, Y Feng… - Respiratory …, 2020 - Springer
Objectives Both short sleep duration and obstructive sleep apnea (OSA) seem to be
associated with insulin resistance. We aimed to explore whether short sleep duration …

Application of group LASSO regression based Bayesian networks in risk factors exploration and disease prediction for acute kidney injury in hospitalized patients with …

Y Li, X Chen, Y Wang, J Hu, Z Shen, X Ding - BMC nephrology, 2020 - Springer
Background Patients who were diagnosed with hematologic malignancies (HM) had a
higher risk of acute kidney injury (AKI). This study applies the Bayesian networks (BNs) to …

Prediction models for acute kidney injury in patients with gastrointestinal cancers: a real-world study based on Bayesian networks

Y Li, X Chen, Z Shen, Y Wang, J Hu, Y Zhang, J Xu… - Renal failure, 2020 - Taylor & Francis
Background This study attempts to establish a Bayesian networks (BNs) based model for
inferring the risk of AKI in gastrointestinal cancer (GI) patients, and to compare its predictive …

[HTML][HTML] Obstructive sleep apnea remains a risk factor for major adverse cardiovascular and cerebrovascular events even in hypertensive patients under treatment: the …

X Yao, N Li, M Heizhati, Y Wang, Y Ma… - Cardiovascular …, 2023 - ncbi.nlm.nih.gov
Background The impact of the co-occurrence of hypertension and obstructive sleep apnea
(OSA) on the risk of long-term cardiovascular disease (CVD) outcomes has not been …

Development and validation of a nomogram for predicting obstructive sleep apnea in bariatric surgery candidates

W Chen, J Feng, Y Wang, C Wang, Z Dong… - Nature and Science …, 2021 - Taylor & Francis
Background Obstructive sleep apnea (OSA) is highly prevalent in bariatric surgery patients
and can lead to potential perioperative risks, but some screening tools lack adequate …