Machine Learning Performance Analysis to Predict Stroke Based on Imbalanced Medical Dataset.
Yuru JingPublished in: CAIBDA (2022)
Keyphrases
- machine learning
- medical domain
- machine learning algorithms
- pattern recognition
- artificial intelligence
- benchmark datasets
- rule interestingness measures
- semi supervised learning
- information extraction
- computer vision
- model selection
- learning problems
- machine learning methods
- medical information
- learning algorithm
- machine learning approaches
- natural language
- chinese characters
- learning tasks
- imbalanced datasets
- medical experts
- database
- training dataset
- ischemic stroke
- medical data
- data analysis
- statistical methods
- transfer learning
- decision trees
- training data
- knowledge acquisition
- computational intelligence
- text mining
- natural language processing
- support vector machine
- knowledge representation