Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?
Alexandre de Fátima CobreDile Pontarolo StremelGuilhermina Rodrigues NoletoMariana Millan FachiMonica SurekAstrid WiensFernanda Stumpf ToninRoberto PontaroloPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- machine learning
- prediction accuracy
- diagnostic tests
- knowledge acquisition
- diagnostic process
- machine learning methods
- experimental data
- automatic diagnosis
- model based reasoning
- prediction algorithm
- test cases
- learning algorithm
- active learning
- explanation based learning
- knowledge discovery
- machine learning algorithms
- computer science
- artificial intelligence
- machine learning approaches
- predictive model
- statistical methods
- inductive learning
- clinical data
- natural language processing
- decision trees
- feature selection
- predictive modeling
- prediction error
- computer vision
- multiple faults
- model based diagnosis
- medical diagnosis
- prediction model
- pattern recognition
- data mining
- fault diagnosis
- model selection
- computational intelligence