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Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
April 9, 2024, 4:42 a.m. | Suiyao Chen, Xinyi Liu, Yulei Li, Jing Wu, Handong Yao
cs.LG updates on arXiv.org arxiv.org
Abstract: As the aging population grows, particularly for the baby boomer generation, the United States is witnessing a significant increase in the elderly population experiencing multifunctional disabilities. These disabilities, stemming from a variety of chronic diseases, injuries, and impairments, present a complex challenge due to their multidimensional nature, encompassing both physical and cognitive aspects. Traditional methods often use univariate regression-based methods to model and predict single degradation conditions and assume population homogeneity, which is inadequate to …
abstract aging arxiv baby boomer challenge community cs.ai cs.lg disabilities diseases elderly functional modeling population representation representation learning stemming type united united states
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