Tuning a multiple classifier system for side effect discovery using genetic algorithms

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Tuning a multiple classifier system for side effect discovery using genetic algorithms

In previous work, a novel supervised framework implementing a binary classifier was presented that obtained excellent results for side effect discovery. Interestingly, unique side effects were identified when different binary classifiers were used within the framework, prompting the investigation of...

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Bibliographic Details
Main Authors:	Reps, Jenna M., Aickelin, Uwe, Garibaldi, Jonathan M.
Format:	Conference or Workshop Item
Published:	IEEE 2014
Subjects:	adr Biomedical Informatics bradford hill ensemble
Online Access:	https://eprints.nottingham.ac.uk/3354/

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