Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data

Upul Senanayake, Arcot Sowmya, Laughlin Dawes, Nicole A. Kochan, Wei Wen, Perminder Sachdev

2016

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 620-629. DOI: 10.5220/0005747806200629

in Bibtex Style

@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 - Volume 1: ICPRAM,},
year={2016},
pages={620-629},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005747806200629},
isbn={978-989-758-173-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data
SN - 978-989-758-173-1
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