The relationship between heavy metals and metabolic syndrome using machine learning
CORRECTION article
Corrigendum: The relationship between heavy metals and metabolic syndrome using machine learning
Provisionally accepted- 1 Guangyuan Central Hospital, Guangyuan, China
- 2 Chengdu Seventh People's Hospital, Chengdu, Sichuan Province, China
- 3 Chengdu Fifth People's Hospital, Chengdu, Sichuan Province, China
- 4 First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan Province, China
- 5 Southern Medical University, Guangzhou, China
Keywords: metabolic syndrome, NHANES (National Health and Nutrition Examination Survey), machine learning, heavy metals, Shapley Additive Explanations (SHAP)
Received: 28 Jun 2024; Accepted: 19 Jul 2024.
Copyright: © 2024 Yao, Du, Yang, Duan and Tong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Feng Tong, Southern Medical University, Guangzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.