Identifying patients in target customer segments using a two-stage clustering-classification approach: A hospital-based assessment.
You-Shyang ChenChing-Hsue ChengChien-Jung LaiCheng-Yi HsuHan-Jhou SyuPublished in: Comput. Biol. Medicine (2012)
Keyphrases
- classification accuracy
- unsupervised learning
- k means
- high dimensionality
- clustering algorithm
- feature vectors
- normal controls
- health care
- feature extraction
- support vector
- feature space
- unsupervised clustering
- supervised classification
- high risk
- support vector machine svm
- data points
- decision trees
- machine learning
- information systems
- intensive care
- intensive care units
- high dimensional data
- electronic commerce
- text classification
- feature selection