Sleep Disorder Classification Method based on Logistic Regression with Apnea-ECG Dataset.
Liangming CaiChunqiang ChenXiaoling WangXiong YangShurui LinJiefeng HuangJinping JiangRituparna DattaMin DuHaiyan JiangMinchen ZhuJingshan HuangPublished in: AIAM (2019)
Keyphrases
- logistic regression
- classification method
- obstructive sleep apnea
- sleep apnea
- fold cross validation
- naive bayes
- text classification
- support vector
- classification algorithm
- loss function
- decision trees
- knn
- support vector machine
- support vector machine svm
- k nearest neighbor
- eeg signals
- logistic regression models
- odds ratio
- physiological parameters
- text categorization
- linear support vector machines
- radial basis function neural network
- neural network
- data sets
- signal processing
- classification accuracy
- training data
- clustering algorithm
- image processing
- data mining