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Authors: Upul Senanayake 1 ; Arcot Sowmya 1 ; Laughlin Dawes 2 ; Nicole A. Kochan 1 ; Wei Wen 1 and Perminder Sachdev 1

Affiliations: 1 UNSW, Australia ; 2 Prince of Wales Hospital, Australia

Keyword(s): Alzheimer’s Disease, Mild Cognitive Impairment, Machine Learning, Neuropsychological Features.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Ensemble Methods ; Medical Imaging ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: While the research on Alzheimer’s disease (AD) is progressing, timely intervention before an individual becomes demented is often emphasized. Mild Cognitive Impairment (MCI), which is thought of as a prodromal syndrome to AD, may be useful in this context as potential interventions can be applied to individuals at increased risk of developing dementia. The current study attempts to address this problem using a selection of machine learning algorithms to discriminate between cognitively normal individuals and MCI individuals among a cohort of community dwelling individuals aged 70-90 years based on neuropsychological test performance. The overall best algorithm in our experiments was AdaBoost with decision trees while random forests was consistently stable. Ten-fold cross validation was used with ten repetitions to reduce variability and assess generalizing capabilities of the trained models. The results presented are consistently of the same calibre or better than the limited number of similar studies reported in the literature. (More)

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Paper citation in several formats:
Senanayake, U.; Sowmya, A.; Dawes, L.; Kochan, N.; Wen, W. and Sachdev, P. (2016). Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 620-629. DOI: 10.5220/0005747806200629

@conference{icpram16,
author={Upul Senanayake. and Arcot Sowmya. and Laughlin Dawes. and Nicole A. Kochan. and Wei Wen. and Perminder Sachdev.},
title={Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={620-629},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005747806200629},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data
SN - 978-989-758-173-1
IS - 2184-4313
AU - Senanayake, U.
AU - Sowmya, A.
AU - Dawes, L.
AU - Kochan, N.
AU - Wen, W.
AU - Sachdev, P.
PY - 2016
SP - 620
EP - 629
DO - 10.5220/0005747806200629
PB - SciTePress

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