Detecting adverse drug reactions in the general practice healthcare database
The novel contribution of this research is the development of a supervised algorithm that extracts relevant attributes from The Health Improvement Network database to detect prescription side effects. Prescription drug side effects are a common cause of morbidity throughout the world. Methods that a...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2014
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| Online Access: | https://eprints.nottingham.ac.uk/14360/ |