Int J Public Health International Journal of Public Health Int J Public Health 1661-8564 Frontiers Media S.A. 1606127 10.3389/ijph.2023.1606127 Public Health Archive Correction Corrigendum: Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study Liu et al. Machine Learning Predicts Cognitive Impairment Liu Haihong 1 2 Zhang Xiaolei 3 4 Liu Haining 2 5 6 * Chong Sheau Tsuey 1 7 * 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 *Correspondence: Haining Liu, liuhn0401@sina.com; Sheau Tsuey Chong, stchong@ukm.edu.my 18 05 2023 2023 68 1606127 25 04 2023 09 05 2023 Copyright © 2023 Liu, Zhang, Liu and Chong. 2023 Liu, Zhang, Liu and Chong

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 A Corrigendum on Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study by Liu H, Zhang X, Liu H and Chong ST (2023). Int J Public Health 68:1605322. doi: 10.3389/ijph.2023.1605322 longitudinal study machine learning random forest middle-aged and older Chinese cognitive impairment dementia

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.