From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach.
M. Tarik AltuncuErik MayerSophia N. YalirakiMauricio BarahonaPublished in: CoRR (2018)
Keyphrases
- free text
- graph partitioning
- medical records
- normalized cut
- health records
- clustering algorithm
- data clustering
- information extraction
- natural language processing
- structured data
- electronic health records
- image segmentation
- weighted graph
- spectral clustering
- graph model
- unsupervised learning
- data objects
- semi structured
- cluster analysis
- k means
- machine learning
- semi supervised
- natural language
- superpixels
- medical data
- domain knowledge
- health care
- databases
- web documents
- supervised learning
- multimedia
- image processing
- data sources