Front. Public Health Frontiers in Public Health Front. Public Health 2296-2565 Frontiers Media S.A. 10.3389/fpubh.2021.778749 Public Health Correction Corrigendum: Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study Achilonu Okechinyere J. 1 * Fabian June 2 3 Bebington Brendan 3 4 Singh Elvira 1 5 Nimako Gideon 1 6 Eijkemans M. J. C. 7 Musenge Eustasius 1 1Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Parktown, Johannesburg, South Africa 2Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa 3Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa 4Department of Surgery, Faculty of Health Science University of the Witwatersrand Faculty of Science, Parktown, Johannesburg, South Africa 5National Cancer Registry, National Health Laboratory Service, 1 Modderfontein Road, Sandringham, Johannesburg, South Africa 6Industrialization, Science, Technology and Innovation Hub, African Union Development Agency (AUDA-NEPAD), Johannesburg, South Africa 7Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, Netherlands

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland

 *Correspondence: Okechinyere J. Achilonu achilonu.okechinyere@gmail.com

This article was submitted to Life-Course Epidemiology and Social Inequalities in Health, a section of the journal Frontiers in Public Health

 29 10 2021 2021 9 778749 17 09 2021 20 09 2021 Copyright © 2021 Achilonu, Fabian, Bebington, Singh, Nimako, Eijkemans and Musenge. 2021 Achilonu, Fabian, Bebington, Singh, Nimako, Eijkemans and Musenge

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 A Corrigendum on Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study by Achilonu, O. J., Fabian, J., Bebington, B., Singh, E., Eijkemans, M. J. C., and Musenge, E. (2021). Front. Public Health 9:694306. doi: 10.3389/fpubh.2021.694306 colorectal cancer recurrence survival machine learning filter feature selection prediction

In the published article, Gideon Nimako was not included as an author in the published article. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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