Classification of glucose records from patients at diabetes risk using a combined permutation entropy algorithm.
David Cuesta-FrauPau Miró-MartínezSandra Oltra-CrespoJorge Jordán NúñezBorja VargasLuis Vigil-MedinaPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- dynamic programming
- detection algorithm
- classification scheme
- classification algorithm
- preprocessing
- learning algorithm
- k means
- probabilistic model
- expectation maximization
- search space
- decision trees
- feature vectors
- np hard
- support vector machine svm
- training data
- classification method
- information entropy
- neural network
- classification accuracy
- training set
- segmentation algorithm
- optimal solution
- high risk
- classification trees