From free text to clusters of content in health records: an unsupervised graph partitioning approach.
M. Tarik AltuncuErik MayerSophia N. YalirakiMauricio BarahonaPublished in: Appl. Netw. Sci. (2019)
Keyphrases
- free text
- graph partitioning
- normalized cut
- medical records
- health records
- clustering algorithm
- data clustering
- information extraction
- structured data
- natural language processing
- image segmentation
- unsupervised learning
- graph model
- spectral clustering
- semi structured
- electronic health records
- medical data
- weighted graph
- metadata
- web documents
- data objects
- multimedia
- health care
- cluster analysis
- multimedia data
- databases
- text mining
- k means
- relational databases
- pairwise
- machine learning