CORRECTION

Int. J. Public Health, 18 May 2023

Volume 68 - 2023 | https://doi.org/10.3389/ijph.2023.1606127

Corrigendum: Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study

  • 1. Centre for Research in Psychology and Human Well-being, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia

  • 2. Department of Psychology, Chengde Medical University, Chengde, China

  • 3. Department of Biomedical Engineering, Chengde Medical University, Chengde, China

  • 4. Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia

  • 5. Hebei Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde, China

  • 6. Hebei International Research Center of Medical Engineering, Chengde Medical University, Chengde, China

  • 7. Counselling Psychology Programme, Secretariat of Postgraduate Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia

Article metrics

601

Views

361

Downloads

There was an error in the Funding statement. The authors erroneously included the funders “Humanities and Social Science Research Project of Hebei Education Department (SQ2022059), and University-Level Scientific Research Project in CDMC (202113).”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The first published version of the article has been updated.

Summary

Keywords

longitudinal study, machine learning, random forest, middle-aged and older Chinese, cognitive impairment, dementia

Citation

Liu H, Zhang X, Liu H and Chong ST (2023) Corrigendum: Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study. Int J Public Health 68:1606127. doi: 10.3389/ijph.2023.1606127

Received

25 April 2023

Accepted

09 May 2023

Published

18 May 2023

Volume

68 - 2023

Updates

Copyright

*Correspondence: Haining Liu, ; Sheau Tsuey Chong,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Cite article

Copy to clipboard


Export citation file


Share article