The Importance of Discretization Methods in Machine Learning Applications: A Case Study of Predicting ICU Mortality.
Hanan ElhilbawiSeif EldawlatlyHani MahdiPublished in: AMLTA (2021)
Keyphrases
- discretization methods
- machine learning
- discretization method
- intensive care unit
- continuous attributes
- intensive care
- learning algorithm
- knowledge acquisition
- naive bayes classifier
- supervised classification
- text classification
- natural language processing
- decision trees
- supervised learning
- active learning
- pattern recognition
- data analysis
- text mining
- numerical data
- data mining
- feature selection
- induction algorithms
- patient data
- medical data
- preprocessing step
- text categorization
- model selection
- data sets
- computational intelligence