Towards an objective assessment of alzheimer's disease: the application of a novel evolutionary algorithm in the analysis of figure copying tasks

Authors:
Alex Hazell;Stephen L. Smith
Affiliations:
University of York, York, United Kngdm;University of York, York, United Kngdm
Venue:
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Year:
2008

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Abstract

Alzheimer's is a chronic debilitating neurodegenerative disease that is difficult to diagnose; conventional approaches are subjective and can be unreliable. This paper describes work towards an objective assessment that uses an evolutionary algorithm to assess an important symptom of the disease, the loss of visuo-spatial ability. Results are presented for application of the system in assessing the immature visuo-spatial ability of 7-11 year old children, which are used as a model for Alzheimer's disease patients.