Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification.
Oluwaseun T. AjayiYu ChengPublished in: CoRR (2024)
Keyphrases
- machine learning
- bayesian networks
- machine learning methods
- text classification
- pattern recognition
- supervised machine learning
- support vector machine
- decision trees
- supervised classification
- explanation based learning
- machine learning algorithms
- classification method
- classification accuracy
- supervised learning
- classification scheme
- unsupervised learning
- probabilistic classifiers
- feature selection
- automatic classification
- statistical learning
- class labels
- pattern classification
- learning tasks
- support vector
- data analysis
- bayesian network classifiers
- preprocessing
- data mining
- probabilistic inference
- rule learning
- learning algorithm
- classification systems
- machine learning approaches
- neural network
- feature extraction
- active learning
- inductive learning
- conditional probabilities
- fault diagnosis
- feature space
- knowledge acquisition