TY - GEN
T1 - A Health Decision Support Framework for the Prediction of Cognitive Ability in Older People
AU - Yang, Hui
AU - Bath, Peter A.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85091948053
U2 - 10.1007/978-981-15-5859-7_39
DO - 10.1007/978-981-15-5859-7_39
M3 - Conference contribution
SN - 9789811558580
T3 - Advances in Intelligent Systems and Computing
SP - 395
EP - 405
BT - Proceedings of Fifth International Congress on Information and Communication Technology
PB - Springer
T2 - Fifth International Congress on Information and Communication Technology
Y2 - 20 February 2020 through 21 February 2020
ER -