A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease.
Jianxin ChenYanwei XingGuangcheng XiJing ChenJianqiang YiDongbin ZhaoJie WangPublished in: ISNN (1) (2007)
Keyphrases
- decision trees
- data mining models
- coronary heart disease
- neural network
- predictive model
- support vector
- predictive data mining
- training data
- support vector machine
- machine learning
- naive bayes
- training set
- support vector machine svm
- knn
- clinical practice
- feature selection
- multi class
- classification rules
- pattern recognition
- data mining
- ensemble methods
- svm classifier
- data mining algorithms
- data mining methods
- classification models
- data sets
- artificial neural networks
- data mining techniques
- real world
- computer vision