Your browser doesn't support javascript.
loading
Using an optimized generative model to infer the progression of complications in type 2 diabetes patients.
Wang, Xiaoxia; Lin, Yifei; Xiong, Yun; Zhang, Suhua; He, Yanming; He, Yuqing; Zhang, Zhikun; Plasek, Joseph M; Zhou, Li; Bates, David W; Tang, Chunlei.
Afiliação
  • Wang X; Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, 200438, China.
  • Lin Y; College of Computer Science and Engineering, Northwest Normal University, Gansu, 730070, China.
  • Xiong Y; West China Hospital of Sichuan University, Sichuan, 610041, China.
  • Zhang S; Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, 200438, China.
  • He Y; Department of Kidney Disease, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Jiangsu, 215021, China.
  • He Y; Department of Endocrinology, Yueyang Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
  • Zhang Z; Institute for Data Industry, School of Economics, Fudan University, Shanghai, 200433, China.
  • Plasek JM; Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, 200438, China.
  • Zhou L; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
  • Bates DW; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
  • Tang C; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
BMC Med Inform Decis Mak ; 22(1): 174, 2022 07 01.
Article em En | MEDLINE | ID: mdl-35778708
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China