Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea

You Sun Kim; Bongjin Lee; Wonjin Jang; Yonghyuk Jeon; June Dong Park

doi:10.4266/acc.2024.01200.r1

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Retraction Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea: DOI: https://doi.org/10.4266/acc.2024.01200.r1
Published online: June 2, 2025

You Sun Kim¹, Bongjin Lee^1,2, Wonjin Jang¹, Yonghyuk Jeon¹, June Dong Park³

¹Department of Pediatrics, Seoul National University Hospital, Seoul, Korea

²Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, Korea

³Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea

• Received: February 6, 2025 • Accepted: February 6, 2025

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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This retracted the article "A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea" on page 621.

The article “A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea” (https://doi.org/10.4266/acc.2024.01200), published in the November 2024 (Volume 39, Issue 4) of Acute and Critical Care, has been retracted by mutual agreement between the authors and the journal’s Editor-in-Chief.

The retraction has been made due to inconsistencies identified between the study’s content and the Institutional Review Board approval obtained during the publication process.

We apologize for any inconvenience this may have caused to the journal’s readership.

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Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea

DOI: https://doi.org/10.4266/acc.2024.01200.r1

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A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea

Retraction: A deep learning model for estimating sedation levels using heart rate variability and vital signs: a retrospective cross-sectional study at a center in South Korea