PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification.
V. Ramu ReddyAnirban Dutta ChoudhurySrinivasan JayaramanNaveen Kumar ThokalaParijat DeshpandeVenkatesh KaliaperumalPublished in: HEALTHINF (2017)
Keyphrases
- feature vectors
- classification accuracy
- feature set
- diabetes mellitus
- feature extraction
- rotational invariant
- classification method
- extracted features
- classification process
- classification models
- svm classifier
- feature space
- class labels
- support vector machine svm
- feature level fusion
- highly discriminative
- multiple features
- text classification
- image features
- heart rate
- feature descriptors
- machine learning
- feature selection
- decision trees
- support vector
- data fusion
- image classification
- face recognition
- independent component analysis
- signal processing
- support vector machine
- fusion method
- information systems