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Open Access

Correction

Correction: Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan

  • The PLOS ONE Staff

Notice of republication

This article was republished on February 11, 2021, to remove Supporting Information files that were incorrectly included in the originally published article. The publisher apologizes for the error. Please download this article again to view the correct version.

Reference

  1. 1. Rasheed MA, Chand P, Ahmed S, Sharif H, Hoodbhoy Z, Siddiqui A, et al. (2021) Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan. PLoS ONE 16(2): e0246236. https://doi.org/10.1371/journal.pone.0246236 pmid:33556088

Citation: The PLOS ONE Staff (2021) Correction: Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan. PLoS ONE 16(2): e0247744. https://doi.org/10.1371/journal.pone.0247744

Published: February 23, 2021

Copyright: © 2021 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.