The Use of Fuzzy ARTMAP and Modified Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients
Downs, J., Harrison, R.F., Kennedy, R. Lee. et al. (1 more author)
(1995)
The Use of Fuzzy ARTMAP and Modified Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients.
Research Report.
ACSE Research Report 556
.
Department of Automatic Control and Systems Engineering
Abstract
The performance of fuzzy ARTMAP and modified fuzzy Artmap is compared using real-world data from a medical domain, the task being to predict the death or survival of patients admitted to a coronary care ward. Modified fuzzy ARTMAP is shown to perform consistently more accurately than fuzzy ARTMAP and is also much less prone to variations in performance with different orderings of a training data. However, modified fuzzy ARTMAP does not show as large an improvement in performance as fuzzy ARTMAP when employed in the voting strategy. When unanimous voting decisions alone are considered, fuzzy ARTMAP is able to increase significantly accuracy in identifying survivors at the cost of decreased coverage of cases. This allows the identification of a subset of patients who have low-risk of death from their condition and are thus potentially suitable for early discharge from hospital.
Metadata
Item Type:
Monograph
Authors/Creators:
Downs, J.
Harrison, R.F.
Kennedy, R. Lee.
Woods, K.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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