Machine Learning-based Feature Selection and Optimisation for Clinical Decision Support Systems. Optimal Data-driven Feature Selection Methods for Binary and Multi-class Classification Problems: Towards a Minimum Viable Solution for Predicting Early Diagnosis and Prognosis

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PhD Thesis (15.54Mb)
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Publication date
2019Author
Parisi, LucaSupervisor
Neagu, DanielCampean, I. Felician
Keyword
Machine learningGenetic algorithms
Feature selection
Optimisation
Clinical decision support
Early diagnosis
Parkinson’s Disease
Rights

The University of Bradford theses are licenced under a Creative Commons Licence.
Institution
University of BradfordDepartment
Faculty of Engineering and InformaticsAwarded
2019