Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study.
Giuseppe CesarelliLeandro DonisiArmando CocciaFederica AmitranoArcangelo BiancardiBernardo LanzilloGiovanni D'AddioPublished in: MeMeA (2022)
Keyphrases
- machine learning algorithms
- pilot study
- benchmark data sets
- decision trees
- machine learning
- machine learning methods
- predictive accuracy
- learning algorithm
- machine learning approaches
- learning problems
- spatiotemporal features
- machine learning models
- random forests
- classification accuracy
- feature selection
- supervised machine learning algorithms
- text classification
- texture analysis
- ensemble methods
- active learning
- feature vectors
- multiscale
- training data
- statistical machine learning
- data mining
- data sets