Application of deep learning to predict the low serum albumin in new hemodialysis patients.

Yang, Cheng-Hong; Chen, Yin-Syuan; Chen, Jin-Bor; Huang, Hsiu-Chen; Chuang, Li-Yeh

Yang, Cheng-Hong; Chen, Yin-Syuan; Chen, Jin-Bor; Huang, Hsiu-Chen; Chuang, Li-Yeh.

Afiliación

Yang CH; Department of Information Management, Tainan University of Technology, Tainan, Taiwan.
Chen YS; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Chen JB; Program in Biomedical Engineering, Kaohsiung Medical University, Kaohsiung, Taiwan.
Huang HC; School of Dentistry, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chuang LY; Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.

Nutr Metab (Lond) ; 20(1): 24, 2023 Apr 24.

Article en En | MEDLINE | ID: mdl-37095523

Palabras clave

Deep learning; Grasshopper optimization algorithm; Hemodialysis; Quantile g-computation; Serum albumin

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nutr Metab (Lond) Año: 2023 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google