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Utilizing a combination of multidimensional obesity indicators may yield different values to assess the risk of moderate-to-severe obstructive sleep apnea (OSA). We aimed to develop and validate the performances of automated machine-learning models for moderate-to-severe OSA, employing multidimensional ...
According to the guidelines on home oxygen therapy for children, home HFNCs have proven successful in managing obstructive sleep apnea and tracheomalacia, but this approach has received little attention [1]. Therefore, there have only been a few clinical reports of home HFNC implementation [1, 2...
Machine learningRandom forestScreeningMore than 80% of patients with moderate to severe obstructive sleep apnea (OSA) are still not diagnosed timely. The prediction model based on random forest (RF) algorithm was established by using heart rate variability (HRV), clinical and demographic features so...
A Prediction Nomogram of Severe Obstructive Sleep Apnea in Patients with Obesity Based on the Liver Stiffness and Abdominal Visceral Adipose Tissue Quantificationdoi:10.2147/NSS.S475534Purpose: The diagnosis of severe OSA still relies on polysomnography, which causes a strong sense of res...
Support vector machine analysisImaging biomarkerBackground: Neurocognitive dysfunction and abnormal regional homogeneity (ReHo) have been reported in patients with obstructive sleep apnea (OSA). However, little is known about whether brain functional alteration could be used to differentiate from healthy ...
MACHINE learningBLOOD cell countSLEEP interruptionsT cell receptorsAMINO acid sequenceNEUTROPHIL lymphocyte ratioT cellsBackground. Obstructive sleep apnea (OSA) is the most prevalent sleep disturbance that affects approximately 936 million people worldwide and leads to extensively increased inci...
Support vector machine analysisImaging biomarkerBackground: Neurocognitive dysfunction and abnormal regional homogeneity (ReHo) have been reported in patients with obstructive sleep apnea (OSA). However, little is known about whether brain functional alteration could be used to differentiate from healthy ...
Past history included nephrectomy for papillary renal cancer, hypercoagulable state with chronic deep venous thrombosis on anticoagulation with therapeutic INR and severe obstructive sleep apnea (OSA). He was noncompliant with continuous positive airway pressure (CPAP) machine. Physical examination was ...
250 OXIDATIVE STRESS IN PATIENTS WITH MODERATE TO SEVERE OBSTRUCTIVE SLEEP APNEAdoi:10.1016/S1389-9457(09)70252-7M. ElshazlySleep Medicine