[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) …
prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) …
Sleep Apnea Clinical Score, Berlin Questionnaire, or Epworth Sleepiness Scale: which is the best obstructive sleep apnea predictor in patients with COPD?
AC Faria, CH da Costa, R Rufino - International journal of general …, 2015 - Taylor & Francis
Introduction The Sleep Apnea Clinical Score (SACS) and the Berlin Questionnaire (BQ) are
used to predict the likelihood of obstructive sleep apnea (OSA). The Epworth Sleepiness …
used to predict the likelihood of obstructive sleep apnea (OSA). The Epworth Sleepiness …
Cattle farmers' perceptions of risk and risk management strategies: evidence from Northern Ethiopia
This study analyzes cattle farmers' perceptions of risk and risk management strategies in
Tigray, Northern Ethiopia. We use survey data from a sample of 356 farmers based on …
Tigray, Northern Ethiopia. We use survey data from a sample of 356 farmers based on …
Prediction models for obstructive sleep apnea in Korean adults using machine learning techniques
This study aimed to investigate the applicability of machine learning to predict obstructive
sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 …
sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 …
[HTML][HTML] Predictors for presence and severity of obstructive sleep apnea in snoring patients: significance of neck circumference
Objectives: Documented risk factors for obstructive sleep apnea include advanced age,
male gender, hypertension, large neck circumference, and obesity; but some controversy …
male gender, hypertension, large neck circumference, and obesity; but some controversy …
An effective model for screening obstructive sleep apnea: a large-scale diagnostic study
J Zou, J Guan, H Yi, L Meng, Y Xiong, X Tang, K Su… - PLoS …, 2013 - journals.plos.org
Background Obstructive sleep apnea (OSA) causes high morbidity and mortality and is
independently associated with an increased likelihood of multiple complications. The …
independently associated with an increased likelihood of multiple complications. The …
[HTML][HTML] Obstructive sleep apnea screening in different age groups: performance of the Berlin, STOP-Bang questionnaires and Epworth Sleepiness Scale
DV e Silva, DSB Alves, MRR Nóbrega… - Brazilian Journal of …, 2023 - Elsevier
Objective To evaluate the performance of the Berlin Questionnaire, the STOP-Bang
Questionnaire, and the Epworth Sleepiness Scale in screening for the disease in adults of …
Questionnaire, and the Epworth Sleepiness Scale in screening for the disease in adults of …
Can statistical machine learning algorithms help for classification of obstructive sleep apnea severity to optimal utilization of polysomno graphy resources?
Objectives: The goal of this study is to evaluate the results of machine learning methods for
the classification of OSA severity of patients with suspected sleep disorder breathing as …
the classification of OSA severity of patients with suspected sleep disorder breathing as …
Trends in sex differences in the receipt of quality of care indicators among adults with diabetes: United States 2002-2011
JS Williams, KG Bishu, A St. Germain… - BMC Endocrine …, 2017 - Springer
Background Evidence suggests disparities in quality of care (QoC) indicators based on sex
exist in adults diagnosed with diabetes; however, this research is limited. Therefore, the …
exist in adults diagnosed with diabetes; however, this research is limited. Therefore, the …
Formula for predicting OSA and the Apnea–Hypopnea Index in Koreans with suspected OSA using clinical, anthropometric, and cephalometric variables
ST Kim, KH Park, SH Shin, JE Kim, CU Pae, KP Ko… - Sleep and …, 2017 - Springer
Purpose This study developed formulas to predict obstructive sleep apnea (OSA) and the
Apnea–Hypopnea Index (AHI) in Korean patients with suspected OSA using clinical …
Apnea–Hypopnea Index (AHI) in Korean patients with suspected OSA using clinical …