Diagnosis Systems for Dementia

dc.contributor.advisor	Vuurpijl, L.G.
dc.contributor.author	Kunneman, Y.J.
dc.date.issued	2012-08-31
dc.description.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.	en_US
dc.identifier.uri	http://theses.ubn.ru.nl/handle/123456789/106
dc.language.iso	en	en_US
dc.thesis.faculty	Faculteit der Sociale Wetenschappen	en_US
dc.thesis.specialisation	Bachelor Artificial Intelligence	en_US
dc.thesis.studyprogramme	Artificial Intelligence	en_US
dc.thesis.type	Bachelor	en_US
dc.title	Diagnosis Systems for Dementia	en_US

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