Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems.
Francisco ValenteJorge HenriquesSimão ParedesTeresa RochaPaulo de CarvalhoJoão MoraisPublished in: EMBC (2021)
Keyphrases
- machine learning
- prediction accuracy
- computational cost
- high accuracy
- computer vision
- feature selection
- rule base
- expert systems
- run times
- medical diagnosis
- learning systems
- information extraction
- genetic algorithm
- active learning
- classification accuracy
- recommender systems
- case based reasoning
- natural language processing
- trade off
- computational intelligence
- error rate
- data analysis
- support vector
- objective function
- artificial intelligence