Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.
Simon KocbekLawrence CavedonDavid MartínezChristopher BainChris Mac ManusGholamreza HaffariIngrid ZukermanKarin VerspoorPublished in: J. Biomed. Informatics (2016)
Keyphrases
- automatically classify
- text mining
- data sources
- automatic classification
- databases
- data integration
- data model
- information extraction
- text documents
- web mining
- patient records
- natural language processing
- emergency department
- integrating heterogeneous
- database
- medical doctors
- text categorisation
- document clustering
- textual data
- record linkage
- knowledge discovery
- data collections
- semi structured
- multiple data sources
- biological knowledge
- electronic medical record
- health care
- data analysis
- information systems
- medical practice
- machine learning
- patient groups