Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management.
Elliot G. MitchellMarissa BurgermasterElizabeth M. HeitkemperMatthew E. LevineYishen MiaoEsteban G. TabakArlene M. SmaldoneDavid J. AlbersLena MamykinaPublished in: AMIA (2019)
Keyphrases
- machine learning
- experimental evaluation
- cost function
- preprocessing
- support vector machine
- detection method
- computational complexity
- support vector machine svm
- machine learning methods
- clustering method
- generation method
- unsupervised learning
- high accuracy
- natural language processing
- statistical methods
- data sets
- knn
- computational cost
- significant improvement
- pairwise
- information retrieval
- learning algorithm
- decision trees
- high precision
- segmentation method
- feature extraction
- pattern recognition
- detection algorithm
- evolutionary algorithm
- model selection
- prior knowledge
- text mining
- image registration
- management system
- dynamic programming