Identification of Multiple Sclerosis Signals' Dependence on Patients' Medical Conditions Through Stochastic Perturbation of Features in Five Machine Learning Models.
Spyros LavdasDimitrios SklavounosPanagiotis K. GkonisPanagiotis SiaperasNikolaos BakasPublished in: EMCIS (2022)
Keyphrases
- machine learning models
- multiple sclerosis
- brain mri
- machine learning approaches
- learning models
- spam filtering
- machine learning algorithms
- mr images
- magnetic resonance
- data mining
- clinical trials
- feature vectors
- artificial neural networks
- feature space
- segmentation method
- magnetic resonance images
- eeg signals