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Identifying Metabolic Syndrome Easily and Cost Effectively Using Non-Invasive Methods with Machine Learning Models.
Xu, Wei; Zhang, Zikai; Hu, Kerong; Fang, Ping; Li, Ran; Kong, Dehong; Xuan, Miao; Yue, Yang; She, Dunmin; Xue, Ying.
Afiliación
  • Xu W; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Zhang Z; Department of Oncology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Hu K; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Fang P; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Li R; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Kong D; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Xuan M; Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
  • Yue Y; School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.
  • She D; Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
  • Xue Y; Department of Endocrinology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
Diabetes Metab Syndr Obes ; 16: 2141-2151, 2023.
Article en En | MEDLINE | ID: mdl-37484515
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Diabetes Metab Syndr Obes Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Diabetes Metab Syndr Obes Año: 2023 Tipo del documento: Article