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Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients

The Original Article was published on 14 February 2023

Correction: BMC Nephrol 24, 34 (2023)

https://doi.org/10.1186/s12882-023-03084-7

Following publication of the original article [1], we have been informed that authors Hualong Liao, Yujie Yang, Ying Zeng, Ying Qiu, Yang Chen, Linfang Zhu, Yu Chen and Huaihong Yuan were incorrectly affiliated. Also, we have been informed that the spelling 'F1 Sore' from Fig. 3 is wrong.

The correct Fig. 3 is given below:

Fig. 3
figure 1

The box plot of voting classifier’s evaluation metrics about six feature sets in females. ×: the mean value mark. ○: the outliers

The authors affiliation has been updated above and the original article has been corrected.

Reference

  1. Liao, et al. Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients. BMC Nephrol. 2023;24:34. https://doi.org/10.1186/s12882-023-03084-7.

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Correspondence to Yu Chen or Huaihong Yuan.

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Liao, H., Yang, Y., Zeng, Y. et al. Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients. BMC Nephrol 24, 110 (2023). https://doi.org/10.1186/s12882-023-03139-9

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  • DOI: https://doi.org/10.1186/s12882-023-03139-9