Explainable machine learning for sleep apnea prediction.
A. R. Troncoso-GarcíaMaría Martínez-BallesterosFrancisco Martínez-ÁlvarezAlicia TroncosoPublished in: KES (2022)
Keyphrases
- machine learning
- sleep apnea
- prediction accuracy
- recursive neural networks
- obstructive sleep apnea
- learning algorithm
- prediction model
- pattern recognition
- prediction algorithm
- computer science
- computer vision
- information extraction
- physiological parameters
- machine learning approaches
- machine learning methods
- data mining
- predictive modeling
- automatic analysis
- learning tasks
- artificial intelligence
- machine learning algorithms
- text classification
- data analysis
- knowledge acquisition
- natural language processing
- supervised learning
- support vector machine
- sleep stage
- knowledge discovery