Retraction notice to "Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study" [Heliyon 8 (2022) e12343]

Heliyon. 2025 Mar 25;11(9):e43252. doi: 10.1016/j.heliyon.2025.e43252. eCollection 2025 Apr.

Xiang Hu^{1

2}, Xue-Ke Li^{1

2}, Shiping Wen³, Xingyu Li⁴, Tian-Shu Zeng^{1

2}, Jiao-Yue Zhang^{1

2}, Weiqing Wang⁵, Yufang Bi⁵, Qiao Zhang⁶, Sheng-Hua Tian^{1

2}, Jie Min^{1

2}, Ying Wang^{1

2}, Geng Liu^{1

2}, Hantao Huang⁷, Miaomiao Peng^{1

2}, Jun Zhang⁷, Chaodong Wu⁸, Yu-Ming Li^{1

2}, Hui Sun^{1

2}, Guang Ning⁵, Lu-Lu Chen^{1

2}

¹ Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
² Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China.
³ Centre for Artificial Intelligence, Faculty of Engineering Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
⁴ School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
⁵ Department of Endocrinology and Metabolism, State Key Laboratory of Medical Genomes, National Clinical Research Center for Metabolic Diseases, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
⁶ Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
⁷ Yiling Hospital, Yichang, China.
⁸ Department of Nutrition and Food Science, Texas A&M University, College Station, TX, USA.

Abstract

[This retracts the article DOI: 10.1016/j.heliyon.2022.e12343.].