Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search.
Davar GivekiHamid SalimiGholamReza BahmanyarYounes KhademianPublished in: CoRR (2012)
Keyphrases
- automatic detection
- mutual information
- support vector
- feature selection
- learning machines
- information theoretic
- automatically detecting
- large margin classifiers
- image registration
- similarity measure
- kernel function
- classification accuracy
- fault diagnosis
- feature ranking
- feature set
- automatic classification
- health care
- primary care
- selection criterion
- small bowel
- medical diagnosis
- support vector machine
- feature vectors
- image processing
- information gain
- logistic regression