A Deep Learning-Based Approach for the Recognition of Sleep Disorders in Patients with Cognitive Diseases: A Case Study.
Giovanni ParagliolaAntonio CoronatoPublished in: FedCSIS (Position Papers) (2017)
Keyphrases
- deep learning
- patient groups
- mental models
- unsupervised learning
- neurodegenerative diseases
- unsupervised feature learning
- obstructive sleep apnea
- sleep apnea
- neurological disorders
- machine learning
- object recognition
- cardiovascular disease
- deep architectures
- restricted boltzmann machine
- viewpoint
- physiological parameters
- sleep stage
- pattern recognition
- risk factors
- named entities