Using Rough Sets, Neural Networks, and Logistic Regression to Predict Compliance with Cholesterol Guidelines Goals in Patients with Coronary Artery Disease.
Anil K. DubeyPublished in: AMIA (2003)
Keyphrases
- logistic regression
- rough sets
- coronary artery disease
- neural network
- clinical setting
- rough set theory
- cardiovascular disease
- pattern recognition
- fuzzy logic
- soft computing
- clinical practice
- risk factors
- support vector
- decision rules
- fuzzy sets
- coronary artery
- decision trees
- naive bayes
- genetic algorithm
- clinical diagnosis
- data mining
- information entropy
- loss function
- clinical trials
- neural network model
- breast cancer
- data analysis
- decision table
- medical knowledge
- bayesian networks
- high dimensional
- artificial neural networks
- expert systems
- learning algorithm
- data sets