Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy.
Tinuke Omolewa OladeleRoseline Oluwaseun OgundokunAnthonia Aderonke KayodeAdekanmi Adeyinka AdegunMarion Oluwabunmi AdebiyiPublished in: ICCSA (5) (2019)
Keyphrases
- data mining algorithms
- feature selection
- data mining
- knowledge discovery
- preprocessing
- data mining methods
- data mining techniques
- diabetic retinopathy
- support vector
- irrelevant attributes
- data mining framework
- data mining tasks
- data analysis
- feature extraction
- machine learning
- privacy preserving
- automatic detection
- data model
- vessel segmentation
- computer vision