Assessment of the risk factors for type II diabetes using an improved combination of particle swarm optimization and decision trees by evaluation with Fisher's linear discriminant analysis.
A. Sheik AbdullahS. SelvakumarPublished in: Soft Comput. (2019)
Keyphrases
- risk factors
- linear discriminant analysis
- type ii
- risk assessment
- particle swarm optimization
- decision trees
- diabetes mellitus
- linear discriminant
- fisher criterion
- discriminant analysis
- high risk
- neyman pearson
- face recognition
- dimensionality reduction
- principal component analysis
- cardiovascular disease
- dimension reduction
- risk management
- high dimensional data
- class separability
- null space
- support vector
- feature extraction
- feature space
- support vector machine svm
- decision making
- blood pressure
- statistical methods
- machine learning
- qr decomposition
- scatter matrices
- high dimensional