Classification of dementia types from cognitive profiles data

Authors:
Giorgio Corani;Chris Edgar;Isabelle Marshall;Keith Wesnes;Marco Zaffalon
Affiliations:
IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale), Manno, Switzerland;Cognitive Drug Research Ltd, Goring-On-Thames, U.K.;Cognitive Drug Research Ltd, Goring-On-Thames, U.K.;Cognitive Drug Research Ltd, Goring-On-Thames, U.K.;IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale), Manno, Switzerland
Venue:
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Year:
2006

Citing 3
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Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data

Artificial Intelligence in Medicine

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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.