Diagnosis Systems for Dementia
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2012-08-31
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en
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Abstract
In 2020 there will be about 42.3 million people worldwide with a form of dementia
(Ferri et al., 2006). It seems likely that a fast and precise diagnoses can contribute
to better care for the patient and more certainty for the caregiver. Medical diagnosis
systems already exist and assist physicians and psychologists worldwide.
Still no medical decision support system for diagnosing dementia exists.
The focus of my research will be the design, development and evaluation of decision
support system for diagnosing dementia, based on four of the most prominent
artificial intelligent techniques. These are:
- Logistic regression
- Nearest neighbor
- Neural networks
- Support vector machines
Because no diagnosis system exists for dementia, the accent of my research will
be the exploration of suitable AI techniques for such a system. Furthermore I will
look at the practical side of a diagnosis system for dementia by making use of the
knowledge of an expert in the field.
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Faculteit der Sociale Wetenschappen