Identifying Important Leisure-time Living Activities for Healthy Aging in the Singapore Longitudinal Aging Cohort Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Identifying Important Leisure-time Living Activities for Healthy Aging in the Singapore Longitudinal Aging Cohort Using Machine Learning Techniques

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Conference on Artificial Intelligence (CAI)
language:
Short-container-title:

Author:

Hu Wangyang¹,Zhong Xin²,Yang Feng³

Affiliation:

1. National University of Singapore,School of Computing,Singapore,117417

2. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR),Social & Cognitive Computing,Singapore,138632

3. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR),Computing & Intelligence,Singapore,138632

Funder

National Academy of Medicine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10194967/10194965/10195111.pdf?arnumber=10195111

Reference16 articles.

1. Reporting on psychological well-being of older adults with chronic aphasia in the context of unaffected peers

2. Ethnic and Educational Differences in Cognitive Test Performance on Mini-Mental State Examination in Asians

3. Sequential Feature Selection for Classification;rückstieß,2011

4. Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

5. Frailty in Older Adults: Evidence for a Phenotype

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