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Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort.
Wang, Hao; Wang, Youxin; Li, Xingang; Deng, Xuan; Kong, Yuanyuan; Wang, Wei; Zhou, Yong.
Affiliation
  • Wang H; Department of Clinical Epidemiology and Evidence-Based Medicine, Beijing Clinical Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Wang Y; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Li X; Center for Precision Medicine, School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027, Australia.
  • Deng X; Clinical Research Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Hongkou District, Shanghai, 200080, China.
  • Kong Y; Department of Clinical Epidemiology and Evidence-Based Medicine, Beijing Clinical Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
  • Wang W; Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Zhou Y; Center for Precision Medicine, School of Medical and Health Sciences, Edith Cowan University, Perth, WA6027, Australia.
Cardiovasc Diabetol ; 21(1): 288, 2022 12 23.
Article in En | MEDLINE | ID: mdl-36564831
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus, Type 2 Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Cardiovasc Diabetol Journal subject: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Year: 2022 Type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus, Type 2 Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Cardiovasc Diabetol Journal subject: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Year: 2022 Type: Article Affiliation country: China