SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models.
Carl HaberfeldAlaa F. ShetaMd. Shafaeat HossainHamza TurabiehSalim SuraniPublished in: UEMCON (2020)
Keyphrases
- obstructive sleep apnea
- machine learning models
- mobile applications
- sleep apnea
- machine learning algorithms
- spam filtering
- machine learning approaches
- mobile devices
- user experience
- mobile phone
- context aware
- eeg signals
- machine learning
- mobile apps
- predictive model
- end users
- radial basis function neural network
- signal processing