Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
Main Authors: | Hualong Liao, Yujie Yang, Ying Zeng, Ying Qiu, Yang Chen, Linfang Zhu, Ping Fu, Fei Yan, Yu Chen, Huaihong Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-04-01
|
Series: | BMC Nephrology |
Online Access: | https://doi.org/10.1186/s12882-023-03139-9 |
Similar Items
-
Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
by: Hualong Liao, et al.
Published: (2023-02-01) -
Neutrophil-to-lymphocyte ratio is associated with sarcopenia risk in overweight maintenance hemodialysis patients
by: Huibin Nie, et al.
Published: (2024-02-01) -
Prevalence, associated factors and clinical implications of medication literacy linked to frailty in hemodialysis patients in China: a cross-sectional study
by: Linfang Zhu, et al.
Published: (2023-10-01) -
Comparison of three nutritional screening tools for detecting sarcopenia in patients with maintenance hemodialysis
by: Xiaoyu Chen, et al.
Published: (2022-10-01) -
Sarcopenia and echocardiographic parameters for prediction of cardiovascular events and mortality in patients undergoing maintenance hemodialysis
by: Mengyan Zhang, et al.
Published: (2022-11-01)