A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis.
Patricia MelinIvette MiramontesGerman Prado-ArechigaPublished in: Expert Syst. Appl. (2018)
Keyphrases
- blood pressure
- fuzzy systems
- risk factors
- modular neural networks
- hybrid intelligent systems
- heart rate
- evolutionary computation
- soft computing
- cardiovascular disease
- fuzzy model
- computational intelligence
- pattern recognition
- neural network
- fuzzy rules
- risk assessment
- bio inspired
- rule base
- decision trees
- feature extraction
- risk management
- machine learning methods
- decision making
- artificial neural networks
- genetic algorithm
- machine learning
- classification rules
- input output
- fuzzy clustering
- membership functions
- unsupervised learning
- feature selection
- intelligent systems
- fuzzy logic
- evolutionary learning
- blood glucose
- search space