Corrigendum: Prediction model of immunosuppressive medication non-adherence for renal transplant patients based on machine learning technology

Front Med (Lausanne). 2022 Aug 9:9:964157. doi: 10.3389/fmed.2022.964157. eCollection 2022.

Authors

Xiao Zhu^{1

2}, Bo Peng², QiFeng Yi^{3

1}, Jia Liu^{3

1

2}, Jin Yan^{3

1}

Affiliations

¹ Nursing Department of Third Xiangya Hospital of Central South University, Changsha, China.
² Research Center of Chinese Health Ministry on Transplantation Medicine Engineering and Technology, The Third Xiangya Hospital, Central South University, Changsha, China.
³ Nursing School of Central South University, Changsha, China.

Abstract

[This corrects the article DOI: 10.3389/fmed.2022.796424.].

Keywords: immunosuppressive medication; machine learning technology; non-adherence; prediction model; renal transplant patients.

Copyright © 2022 Zhu, Peng, Yi, Liu and Yan.

Publication types

Published Erratum