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Record #66177

Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study

Journal
Heliyon
Original paper date
Dec 10, 2022
Institution
Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China · Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China · Centre for Artificial Intelligence, Faculty of Engineering Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia · School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China · 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 · Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China · Yiling Hospital, Yichang, China · Department of Nutrition and Food Science, Texas A&M University, College Station, TX, USA
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(HSC) Biostatistics/Epidemiology(HSC) Medicine - Cardiovascular(HSC) Medicine - Endocrinology
Citation lifecycle

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Pre-retraction
3
Same day
0
Post-retraction
2
% post-retraction
40.0%
~1.3 citations/yr before retraction · ~1.4 citations/yr after
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