Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups.
Yufang HuangYifan LiuPeter A. D. SteelKelly M. AxsomJohn R. LeeSri Lekha TummalapalliFei WangJyotishman PathakLakshminarayanan SubramanianYiye ZhangPublished in: J. Am. Medical Informatics Assoc. (2021)
Keyphrases
- clustering algorithm
- clustering method
- k means
- decision making
- unsupervised learning
- graph theoretic
- categorical data
- risk management
- predictive clustering trees
- patient data
- hierarchical clustering
- spectral clustering
- data clustering
- document clustering
- information theoretic
- fuzzy clustering
- data objects
- risk assessment
- cardiovascular disease