Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.
Marcos Antonio AlvesGiulia Zanon CastroBruno Alberto Soares OliveiraLeonardo Augusto FerreiraJaime Arturo RamírezRodrigo C. P. SilvaFrederico Gadelha GuimarãesPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- diagnostic process
- diagnostic tests
- model based diagnosis
- naive bayes
- graph matching
- training set
- decision tree construction
- feature construction
- graph theory
- learning tasks
- fault diagnosis
- random forest
- decision rules
- graph theoretic
- decision tree induction
- pattern recognition
- training data
- machine learning methods
- data mining methods
- gini index
- weighted graph
- predictive accuracy
- artificial intelligence
- neural network
- medical diagnosis
- decision tree algorithm
- decision tree learning
- evaluation criteria
- inductive bias
- rule sets
- directed graph
- ensemble methods
- data sets
- data mining
- decision tree induction algorithm
- learning algorithm
- computer vision
- feature selection
- data analysis
- heart disease
- active learning
- constructive induction
- support vector machine
- information extraction
- supervised learning
- knowledge discovery in databases
- graph representation
- natural language processing
- text classification
- classification rules