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Predicting Elevated TSH Levels in the Physical Examination Population With a Machine Learning Model.
Cheng, Xinqi; Li, Shicheng; Deng, Lizong; Luo, Wei; Wang, Dancheng; Cheng, Jin; Ma, Chaochao; Chen, Luming; Jiang, Taijiao; Qiu, Ling; Zhang, Guojun.
Afiliação
  • Cheng X; Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Li S; Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Deng L; Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Luo W; Suzhou Institute of Systems Medicine, Suzhou, China.
  • Wang D; Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Cheng J; Suzhou Institute of Systems Medicine, Suzhou, China.
  • Ma C; Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Chen L; Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Jiang T; Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Qiu L; Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Zhang G; Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, China.
Front Endocrinol (Lausanne) ; 13: 839829, 2022.
Article em En | MEDLINE | ID: mdl-35282438
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tiroxina / Tireotropina Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tiroxina / Tireotropina Idioma: En Ano de publicação: 2022 Tipo de documento: Article