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Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.
Ou, Shuo-Ming; Tsai, Ming-Tsun; Lee, Kuo-Hua; Tseng, Wei-Cheng; Yang, Chih-Yu; Chen, Tz-Heng; Bin, Pin-Jie; Chen, Tzeng-Ji; Lin, Yao-Ping; Sheu, Wayne Huey-Herng; Chu, Yuan-Chia; Tarng, Der-Cherng.
Afiliación
  • Ou SM; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.
  • Tsai MT; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Lee KH; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Tseng WC; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.
  • Yang CY; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Chen TH; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Bin PJ; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.
  • Chen TJ; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Lin YP; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Sheu WH; Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.
  • Chu YC; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Tarng DC; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
BioData Min ; 16(1): 8, 2023 Mar 10.
Article en En | MEDLINE | ID: mdl-36899426
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioData Min Año: 2023 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioData Min Año: 2023 Tipo del documento: Article País de afiliación: Taiwán