Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence.
Stella DimitsakiGeorge I. GavriilidisVlasios K. DimitriadisPantelis NatsiavasPublished in: Artif. Intell. Medicine (2023)
Keyphrases
- artificial intelligence
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- prediction accuracy
- computer science
- feature selection
- computational intelligence
- support vector machine
- knowledge engineering
- supervised classification
- knowledge representation
- prediction model
- training data
- natural language processing
- pattern recognition
- naive bayes
- support vector
- ensemble classifier
- svm classifier
- neural networks and support vector machines
- high density
- prediction error
- learning classifier systems
- learning algorithm
- software engineering
- training set
- active learning
- cognitive science
- training examples
- learning problems
- supervised learning
- text mining
- ensemble learning
- test set
- meta learning
- inductive learning
- linear classifiers
- training samples
- reinforcement learning
- feature ranking
- predictive modeling
- multiple classifier systems
- roc analysis
- support vector machine svm