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Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms

The Original Article was published on 20 October 2021

This article has been updated

Correction to: BMC Med Inform Decis Mak (2021) 21:288 https://doi.org/10.1186/s12911-021-01639-y

Following publication of the original article [1], the following errors were reported:

  1. 1)

    Jay Chiehen Liao’s name was misspelled as ‘Jay Chie-hen Liao’

  2. 2)

    A note marking Yu-Tai Lo and Jay Chiehen Liao as co-first authors was missing

  3. 3)

    A grant number was missing in the Acknowledgement declaration

The correct authorship list is given in this Correction article and the corrected Acknowledgement declaration is given below, with the missing number in bold:

Acknowledgements

We thank the nursing supervisor of discharge planning Ms. Hsiu-Hua Lee, discharge planning nurses, and the information technicians at National Cheng Kung University Hospital for helping us collect data from patients’ medical records. This work is supported by the Ministry of Science and Technology (MOST) of Taiwan under grants 109-2636-E-006-017 (MOST Young Scholar Fellowship), 110-2221-E-006-001, 110-2221-E-006-136-MY3, and 110-2634-F-002-051.

The original article [1] has been updated.

Change history

  • 02 April 2022

    There was a typographical error in Jay Chiehen Liao’s name. The article has been updated to rectify the error.

Reference

  1. Lo YT, Liao JC, Chen MH, et al. Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. BMC Med Inform Decis Mak. 2021;21:288. https://doi.org/10.1186/s12911-021-01639-y.

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Correspondence to Cheng-Te Li.

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Lo, YT., Liao, J.C., Chen, MH. et al. Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. BMC Med Inform Decis Mak 22, 73 (2022). https://doi.org/10.1186/s12911-022-01804-x

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  • DOI: https://doi.org/10.1186/s12911-022-01804-x