Calculating the Mean Amplitude of Glycemic Excursions from Continuous Glucose Data Using an Open-Code Programmable Algorithm Based on the Integer Nonlinear Method.
Xuefei YuLiangzhuo LinJie ShenZhi ChenJun JianBin LiSherman Xuegang XinPublished in: Comput. Math. Methods Medicine (2018)
Keyphrases
- input data
- noisy data
- high accuracy
- cost function
- dynamic programming
- synthetic data
- improved algorithm
- preprocessing
- prior information
- detection method
- similarity matrix
- objective function
- data sets
- optimization algorithm
- computational cost
- clustering method
- computational complexity
- significant improvement
- k means
- information loss
- recognition algorithm
- support vector machine svm
- sample set
- dimensional data
- linear transform
- dissimilarity matrix
- matching algorithm
- detection algorithm
- probabilistic model
- large scale data sets
- segmentation method
- classification trees
- classification algorithm
- em algorithm
- learning algorithm
- nonlinear functions
- spectral clustering
- statistical methods
- optimization method
- tree structure
- missing data
- training data
- convergence rate
- extracted features
- expectation maximization
- feature subset
- training samples
- segmentation algorithm
- association rules
- bayesian networks
- feature selection
- energy function
- code length
- high dimensional data