Cost effective approach on feature selection using genetic algorithms and fuzzy logic for diabetes diagnosis
E. P. EphzibahPublished in: CoRR (2011)
Keyphrases
- cost effective
- fuzzy logic
- feature selection
- fault diagnosis
- genetic algorithm
- cardiovascular disease
- low cost
- expert systems
- neural network
- cost effectiveness
- text categorization
- primary care
- medical diagnosis
- fuzzy sets
- model based diagnosis
- computational intelligence
- medical knowledge
- intelligent control
- control system
- early diagnosis
- soft computing
- feature extraction
- fuzzy rules
- support vector
- support vector machine
- classification accuracy
- membership functions
- machine learning
- diabetic patients
- mutual information
- feature space
- selected features
- fuzzy inference
- feature set
- artificial intelligence
- data center
- business processes
- fuzzy inference system
- risk factors
- medical data
- decision making
- feature subset