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Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm.
Lee, Joonyub; Choi, Yera; Ko, Taehoon; Lee, Kanghyuck; Shin, Juyoung; Kim, Hun-Sung.
Afiliação
  • Lee J; Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Choi Y; NAVER CLOVA AI Lab, Seongnam, Korea.
  • Ko T; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee K; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Shin J; Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Kim HS; Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Endocrinol Metab (Seoul) ; 39(1): 176-185, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37989268
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Diabetes Mellitus Tipo 2 Limite: Humans Idioma: En Revista: Endocrinol Metab (Seoul) Ano de publicação: 2024 Tipo de documento: Article País de publicação:
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Diabetes Mellitus Tipo 2 Limite: Humans Idioma: En Revista: Endocrinol Metab (Seoul) Ano de publicação: 2024 Tipo de documento: Article País de publicação: