Predictive model of frailty onset using Bayesian network-Reference-Cited by-同舟云学术

Predictive model of frailty onset using Bayesian network

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Kawai Yujiro¹,Sakurai Eiichi²,Sugawara Yuki³,Okada Yukihiko⁴,Tanabe Kai⁵,Tsukao Akiko⁶,Kuno Shinya⁵

Affiliation:

1. National Institute of Advanced Industrial Science and Technology,Tokyo,Japan

2. Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology Tokyo, Japan

3. National Institute of Advanced Industrial Science and Technology, Tokyo, Japan University of Tsukuba, Tsukuba, Japan

4. Institute of Systems and Information Engineering, Center for Artificial Intelligence Research University of Tsukuba, Tsukuba, Japan

5. R&D Center for Smart Wellness City Policies University of Tsukuba Tsukuba, Japan

6. Tsukuba Wellness Research Co., Ltd. Chiba, Japan

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020951.pdf?arnumber=10020951

Reference18 articles.

1. The effect of health literacy on the presence of frailty in the elderly at 2 years: A prospective cohort study;kamimura;Japanese Journal of Geriatrics,2021

2. Modifications to the frailty phenotype criteria: Systematic review of the current literature and investigation of 262 frailty phenotypes in the Survey of Health, Ageing, and Retirement in Europe

3. Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century

4. Health literacy: a challenge for American patients and their health care providers

5. Frailty in Older Adults: Evidence for a Phenotype

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