Miaomiao Peng

Huazhong University of Science and Technology - Department of Endocrinology

Wuhan, Hubei 430022

China

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Predictive Modeling the Probability of Suffering from Metabolic Syndrome Using Machine Learning: A Population-Based Study

Number of pages: 53 Posted: 27 May 2021
Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, University of Technology Sydney (UTS) - Centre for Artificial Intelligence, University of Electronic Science and Technology of China (UESTC), School of Computer Science and Engineering, Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, Shanghai Jiao Tong University (SJTU) - Department of Endocrine and Metabolic Diseases, Shanghai Jiao Tong University (SJTU) - Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Huazhong University of Science and Technology - Department of Cardiovascular Surgery, Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, Yiling Hospital, Huazhong University of Science and Technology - Department of Endocrinology, Yiling Hospital, Texas A&M University - Department of Nutrition and Food Sciences, Huazhong University of Science and Technology - Department of Endocrinology, Huazhong University of Science and Technology - Department of Endocrinology, Shanghai Jiao Tong University (SJTU) - Department of Endocrine and Metabolic Diseases and Huazhong University of Science and Technology - Tongji Medical College
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Abstract:

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metabolic syndrome, machine learning, prediction model, predictors, population-based study