XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging-Reference-Cited by-同舟云学术

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XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging

Published:2022-07 Issue:7 Volume:26 Page:3354-3361
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Shin Hangsik¹^ORCID

Affiliation:

1. Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Ministry of Education

Korea Health Technology R&D Project

Korea Health Industry Development Institute

Ministry of Health and Welfare

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09713685.pdf?arnumber=9713685

Reference35 articles.

1. The Splicing Factor SRSF1 as a Marker for Endothelial Senescence

2. Mechanisms involved in the aging-induced vascular dysfunction;el assar de la fuente;Front Physiol,2012

3. Arterial–Ventricular Coupling with Aging and Disease

4. Age-related changes in pulse risetime measured by multi-site photoplethysmography

5. Endothelial Progenitor Cells Enter the Aging Arena

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