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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.
Wu, Yan-Ting; Zhang, Chen-Jie; Mol, Ben Willem; Kawai, Andrew; Li, Cheng; Chen, Lei; Wang, Yu; Sheng, Jian-Zhong; Fan, Jian-Xia; Shi, Yi; Huang, He-Feng.
Afiliação
  • Wu YT; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang CJ; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
  • Mol BW; Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China.
  • Kawai A; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Li C; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
  • Chen L; Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China.
  • Wang Y; Department of Obstetrics and Gynecology, Monash University, Clayton, Australia.
  • Sheng JZ; Department of Obstetrics and Gynecology, Monash University, Clayton, Australia.
  • Fan JX; International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Shi Y; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
  • Huang HF; Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China.
J Clin Endocrinol Metab ; 106(3): e1191-e1205, 2021 03 08.
Article em En | MEDLINE | ID: mdl-33351102
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Diabetes Gestacional / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Female / Humans / Pregnancy País como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Diabetes Gestacional / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Female / Humans / Pregnancy País como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article