Cargando…
Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
BACKGROUND: Maintenance hemodialysis (MHD) patients often suffer from sarcopenia, which is strongly associated with their long-term mortality. The diagnosis and treatment of sarcopenia, especially possible sarcopenia for MHD patients are of great importance. This study aims to use machine learning a...
Autores principales: | Liao, Hualong, Yang, Yujie, Zeng, Ying, Qiu, Ying, Chen, Yang, Zhu, Linfang, Fu, Ping, Yan, Fei, Chen, Yu, Yuan, Huaihong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930261/ https://www.ncbi.nlm.nih.gov/pubmed/36788486 http://dx.doi.org/10.1186/s12882-023-03084-7 |
Ejemplares similares
-
Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
por: Liao, Hualong, et al.
Publicado: (2023) -
Development of a Practical Screening Tool to Predict Sarcopenia in Patients on Maintenance Hemodialysis
por: Du, Xiaoju, et al.
Publicado: (2022) -
Prevalence, associated factors and clinical implications of medication literacy linked to frailty in hemodialysis patients in China: a cross-sectional study
por: Zhu, Linfang, et al.
Publicado: (2023) -
Sarcopenia and echocardiographic parameters for prediction of cardiovascular events and mortality in patients undergoing maintenance hemodialysis
por: Zhang, Mengyan, et al.
Publicado: (2022) -
Comparison of three nutritional screening tools for detecting sarcopenia in patients with maintenance hemodialysis
por: Chen, Xiaoyu, et al.
Publicado: (2022)