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Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

  • The original article was published in BMC Medical Informatics and Decision Making 2019 19:253

Correction to: BMC Med Inform Decis Mak 19, 253 (2019)

https://doi.org/10.1186/s12911-019-0990-x

In the publication of this article [1], there were two errors.

The error: Authors Ahmed Aljaaf1,3, Abir Hussain1, Thar Baker1, and Dhiya Al-Jumeily1 are affiliated with affiliation 1.

It should instead read: Ahmed Aljaaf2,3, Abir Hussain2, Thar Baker2, and Dhiya Al-Jumeily2 since the authors should instead be affiliated with affiliation 2: Computer science Department, Liverpool John Moores University, Liverpool, UK.

The error: the Acknowledgements section lacks additional acknowledgements.

It should instead read:

Acknowledgments

Dr. Mohamed Alloghani is an Advisor for the Minister of State for Artificial Intelligence in the United Arab Emirates and working at the Artificial Intelligence Office, Dubai. The data sources used in the paper was retrieved from UCI Machine Learning Repository as submitted by the Center for Clinical and Translational Research. The organization and the characteristics of the data made it easy to complete classification and clustering tasks. The authors would like to thank the eSystems Engineering Society for the support provided to the work presented in this paper.

This has now been updated in this correction article.

Reference

  1. 1.

    Alloghani M, Aljaaf A, Hussain A, et al. Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Med Inform Decis Mak. 2019;19(Suppl 9):253 https://doi.org/10.1186/s12911-019-0990-x.

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Correspondence to Mohamed Alloghani.

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Alloghani, M., Aljaaf, A., Hussain, A. et al. Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Med Inform Decis Mak 20, 93 (2020). https://doi.org/10.1186/s12911-020-1102-7

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