@inproceedings{84532d18f9c0475e8e4e4c6034460148,
title = "A Health Decision Support Framework for the Prediction of Cognitive Ability in Older People",
abstract = "Deterioration in cognitive functioning has become a serious public health burden due to aging of the population. Strategies for maintaining cognitive abilities with age are needed critically. The objectives of this study were: first to build a system that could accurately predict reduced cognitive function in older adults and; second, through this, to identify features that predict reduced cognitive function. Three tests of cognitive ability were investigated using data from the English Longitudinal Study of Aging (ELSA). Six machine learning algorithms were separately implemented in the system and their performance was compared in terms of the three cognitive tests. For each cognitive test, potentially important risk factors were identified as protective factors against cognitive aging. The findings from this study enhance our understanding of the underlying mechanisms that affect cognitive aging.",
author = "Hui Yang and Bath, {Peter A.}",
year = "2020",
month = oct,
day = "1",
doi = "10.1007/978-981-15-5859-7_39",
language = "English",
isbn = "9789811558580",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "395–405",
booktitle = "Proceedings of Fifth International Congress on Information and Communication Technology",
note = "Fifth International Congress on Information and Communication Technology, ICICT 2020 ; Conference date: 20-02-2020 Through 21-02-2020",
}