Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems.
Francisco ValenteSimão ParedesJorge HenriquesPublished in: CoRR (2021)
Keyphrases
- proceedings of the th international conference
- machine learning
- prediction accuracy
- computational biology
- optimization problems
- high accuracy
- computational complexity
- data sets
- medical data
- pattern recognition
- medical diagnosis
- medical domain
- machine learning methods
- text classification
- text mining
- active learning
- recommender systems
- knowledge base
- information retrieval
- data mining