A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.
Farahnaz HajipourMohammad Jafari JozaniZahra MoussaviPublished in: Medical Biol. Eng. Comput. (2020)
Keyphrases
- logistic regression
- random forest
- decision trees
- machine learning models
- obstructive sleep apnea
- random forests
- machine learning algorithms
- fold cross validation
- sleep apnea
- naive bayes
- machine learning
- predictive model
- ensemble methods
- support vector
- loss function
- machine learning methods
- data sets
- feature set
- k nearest neighbor
- model selection
- genetic programming
- image classification
- higher order
- artificial neural networks
- feature selection
- learning algorithm
- data mining