Corani, Giorgio and Edgar, Chris and Marshall, Isabelle and Wesnes, Keith and Zaffalon, Marco (2006) Classification of dementia types from cognitive profiles data. In: Knowledge Discovery in Databases: PKDD 2006 10th European Conference on Principle and Practice of Knowledge Discovery in Databases, 18.09.2006-22.09.2006, Berlin, Germany.
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Abstract
The Cognitive Drug Research (CDR) system is specifically validated for dementia assessment; it consists of a series of computerized tests, which assess the cognitive faculties of the patient to derive a cognitive profile. We use six different classification algorithms to classify clinically diagnosed diseases from their cognitive profiles. Good accuracy was obtained in separating patients affected by Parkinson’s disease from demented patients, and in discriminating between Alzheimer’s disease and Vascular Dementia. However, in discriminating between Parkinson disease with dementia (PDD) and dementia with Lewy bodies (DLB), the accuracy was only slightly superior to chance; the existence of a significant difference in the cognitive profiles of DLB and PDD is indeed questioned in the medical literature.
| Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
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| Subjects: | Mathematical sciences > Statistics > Applied statistics > Medical statistics Computer sciences > Artificial intelligence Computer sciences > Artificial intelligence > Machine learning |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull'intelligenza artificiale |
| Depositing User: | Giorgio Corani |
| Date Deposited: | 12 May 2014 09:38 |
| Last Modified: | 06 May 2016 06:07 |
| URI: | http://repository.supsi.ch/id/eprint/4733 |
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