Risk-prediction model for incident hypertension in patients with obstructive sleep apnea based on SpO2 signals.
Jingyuan YouJuan LiXiaoyu LiHaojie LiJinying TuYuhuan ZhangJiandong GaoJi WuJingying YePublished in: EMBC (2023)
Keyphrases
- prediction model
- obstructive sleep apnea
- risk factors
- eeg signals
- sleep apnea
- high risk
- blood pressure
- regression model
- hilbert huang transform
- risk assessment
- cardiovascular disease
- bp neural network
- heart rate
- signal processing
- risk management
- neural network
- stepwise regression
- ls svm
- response surface methodology
- radial basis function neural network
- wavelet neural network
- clinical trials
- physiological parameters
- exponential smoothing
- customer churn
- brain computer interface
- learning algorithm
- machine learning