Correction to: Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker (Scientific Reports, (2024), 14, 1, (25207), 10.1038/s41598-024-76639-9)

Abstract

Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-76639-9, published online 24 October 2024 The original version of this Article contained an error in the Proposed framework section under subheading ‘Dataset collection’, which omitted access information for the COUGHVID, Coswara and Virufy datasets: Our experimentation involved multiple datasets, including COUGHVID42, Coswara20, Virufy43, and the ComParE44 datasets. now reads: Our experimentation involved multiple datasets, including COUGHVID (version 3.0)42, Coswara (commit ID: 401b516)20, Virufy (https://virufy.org/, accessed: 06-October-2021)43, and the ComParE44 datasets. In addition, this Article contained errors in Reference 43, which was incorrectly given as: Coppock, H. et al. End-to-end convolutional neural network enables covid-19 detection from breath and cough audio: A pilot study. BMJ Innov. 7 (2021). The correct Reference is listed below: Chaudhari, G. et al. Virufy: Global applicability of crowdsourced and clinical datasets for AI detection of COVID-19 from cough. Preprint at https://arxiv.org/abs/2011.13320 (2020). Finally, the Acknowledgements section was incomplete: This research was supported by the Researchers Supporting Project number (RSP2024R476), King Saud University, Riyadh, Saudi Arabia. now reads: This research was supported by the Researchers Supporting Project number (RSP2024R476), King Saud University, Riyadh, Saudi Arabia. The authors also wish to declare the use of Grammarly to refine the grammar and improve the readability of the manuscript. The original Article has been corrected.