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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200)

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

doi:10.4266/acc.2024.01200.r1

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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200)

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

Research output: Contribution to journal › Comment/debate

Abstract

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published in the November 2024 (Volume 39, Issue 4) of Acute and Critical Care, has been retracted by mutual agreement between the authors and the journal’s Editor-in-Chief.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.

Original language	English
Pages (from-to)	512
Number of pages	1
Journal	Acute and Critical Care
Volume	40
Issue number	3
DOIs	https://doi.org/10.4266/acc.2024.01200.r1
State	Published - Aug 2025

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© 2025 The Korean Society of Critical Care Medicine This is an Open Access article distributed under the terms of Creative Attributions Non-Commercial License (https://creativecommons.org/li-censes/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Kim, Y. S., Lee, B., Jang, W., Jeon, Y., & Park, J. D. (2025). 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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200). Acute and Critical Care, 40(3), 512. https://doi.org/10.4266/acc.2024.01200.r1

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abstract = "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{\textquoteright}s Editor-in-Chief. The retraction has been made due to inconsistencies identified between the study{\textquoteright}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{\textquoteright}s readership.",

author = "Kim, \{You Sun\} and Bongjin Lee and Wonjin Jang and Yonghyuk Jeon and Park, \{June Dong\}",

note = "Publisher Copyright: {\textcopyright} 2025 The Korean Society of Critical Care Medicine This is an Open Access article distributed under the terms of Creative Attributions Non-Commercial License (https://creativecommons.org/li-censes/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.",

year = "2025",

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Kim, YS, Lee, B, Jang, W, Jeon, Y & Park, JD 2025, '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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200)', Acute and Critical Care, vol. 40, no. 3, pp. 512. https://doi.org/10.4266/acc.2024.01200.r1

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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200). / Kim, You Sun; Lee, Bongjin; Jang, Wonjin et al.
In: Acute and Critical Care, Vol. 40, No. 3, 08.2025, p. 512.

Research output: Contribution to journal › Comment/debate

TY - JOUR

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AU - Kim, You Sun

AU - Lee, Bongjin

AU - Jang, Wonjin

AU - Jeon, Yonghyuk

AU - Park, June Dong

N1 - Publisher Copyright: © 2025 The Korean Society of Critical Care Medicine This is an Open Access article distributed under the terms of Creative Attributions Non-Commercial License (https://creativecommons.org/li-censes/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2025/8

Y1 - 2025/8

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105017487529

U2 - 10.4266/acc.2024.01200.r1

DO - 10.4266/acc.2024.01200.r1

M3 - Comment/debate

AN - SCOPUS:105017487529

SN - 2586-6052

VL - 40

SP - 512

JO - Acute and Critical Care

JF - Acute and Critical Care

IS - 3

ER -

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 (Acute and Critical Care (2024) 39:4, DOI: 10.4266/acc.2024.01200)

Abstract

Bibliographical note

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