A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems
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2021Author:
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J. Davis, S. P. Knight, R. Rizzo, O. A. Donoghue, R. A. Kenny and R. Romero-Ortuno, A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems, 29th European Signal Processing Conference (EUSIPCO), Dublin, 2021Download Item:
Abstract:
Frailty in older adults is characterized by reduced physiological reserve. Gait speed reserve (GSR: maximum minus usual gait speed) could help identify frailty and act as a proxy for physiological reserve. Utilizing data from 2397 participants aged 50+ from wave 3 of The Irish Longitudinal Study on Ageing, we developed a stepwise linear regression-based machine learning pipeline to select the most important GSR predictors from 34 manually selected features across multiple domains. Variables were selected one at a time such that they maximized the mean adjusted r-squared score from a 5-fold cross-validation. A peak score of (𝟎. 𝟏𝟔 ± 𝟎. 𝟎𝟑) was achieved with 14 variables (giving adjusted-r-squared of 0.18 and 0.16 on 80% training and 20% test data, respectively). The first 7 variables explained 95% of the peak score: grip strength, MOCA cognitive score, third level education, chair stands time, sex, age, and body mass index (BMI). Of the 14 selected features,
11 had statistically significant (p<0.05) effects in the model: sex, MOCA, third level education, chair stands time, age, BMI, grip strength, cardiac output, number of medications, fear of falling, and mean choice reaction time. Associations between GSR and multi-domain features suggest that a network physiology approach is necessary for assessing physiological reserve.
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Science Foundation Ireland (SFI)
18/FRL/6188
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http://people.tcd.ie/romeroor
Author: Romero-Ortuno, Roman
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2021 29th European Signal Processing Conference (EUSIPCO)Type of material:
Proceedings of a ConferenceCollections:
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Gait Speed Reserve, Linear Regression, Machine Learning, Network Physiology, Aging, FrailtySubject (TCD):
Ageing , Digital EngagementDOI:
https://ieeexplore.ieee.org/document/9616187Licences: