Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)

Hyunji Sang; Jaeyu Park; Soeun Kim; Myeongcheol Lee; Hojae Lee; Sun Ho Lee; Dong Keon Yon; Sang Youl Rhee

doi:10.1038/s41598-025-87065-w

Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)

Hyunji Sang, Jaeyu Park, Soeun Kim, Myeongcheol Lee, Hojae Lee, Sun Ho Lee, Dong Keon Yon, Sang Youl Rhee

Research output: Contribution to journal › Comment/debate

Abstract

Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-79654-y, published online 30 November 2024 The original version of this Article contained an error in the Funding section. “This research is funded by the BK21 FOUR program of Graduate School Kyung Hee University (GS-1-JO-NON-20240382).” now reads: “This research was supported by the Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2023-00262002).” The original Article has been corrected.

Original language	English
Article number	2928
Journal	Scientific Reports
Volume	15
Issue number	1
DOIs	https://doi.org/10.1038/s41598-025-87065-w
Publication status	Published - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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Sang, H., Park, J., Kim, S., Lee, M., Lee, H., Lee, S. H., Yon, D. K., & Rhee, S. Y. (2025). Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y). Scientific Reports, 15(1), Article 2928. https://doi.org/10.1038/s41598-025-87065-w

@article{b44d29f114654a62a2b3ff2efb2778bf,

title = "Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)",

abstract = "Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-79654-y, published online 30 November 2024 The original version of this Article contained an error in the Funding section. “This research is funded by the BK21 FOUR program of Graduate School Kyung Hee University (GS-1-JO-NON-20240382).” now reads: “This research was supported by the Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2023-00262002).” The original Article has been corrected.",

author = "Hyunji Sang and Jaeyu Park and Soeun Kim and Myeongcheol Lee and Hojae Lee and Lee, {Sun Ho} and Yon, {Dong Keon} and Rhee, {Sang Youl}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.",

year = "2025",

month = dec,

doi = "10.1038/s41598-025-87065-w",

language = "English",

volume = "15",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

number = "1",

}

Sang, H, Park, J, Kim, S, Lee, M, Lee, H, Lee, SH, Yon, DK & Rhee, SY 2025, 'Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)', Scientific Reports, vol. 15, no. 1, 2928. https://doi.org/10.1038/s41598-025-87065-w

Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y). / Sang, Hyunji; Park, Jaeyu; Kim, Soeun et al.
In: Scientific Reports, Vol. 15, No. 1, 2928, 12.2025.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Correction to

T2 - Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)

AU - Sang, Hyunji

AU - Park, Jaeyu

AU - Kim, Soeun

AU - Lee, Myeongcheol

AU - Lee, Hojae

AU - Lee, Sun Ho

AU - Yon, Dong Keon

AU - Rhee, Sang Youl

PY - 2025/12

Y1 - 2025/12

N2 - Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-79654-y, published online 30 November 2024 The original version of this Article contained an error in the Funding section. “This research is funded by the BK21 FOUR program of Graduate School Kyung Hee University (GS-1-JO-NON-20240382).” now reads: “This research was supported by the Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2023-00262002).” The original Article has been corrected.

AB - Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-79654-y, published online 30 November 2024 The original version of this Article contained an error in the Funding section. “This research is funded by the BK21 FOUR program of Graduate School Kyung Hee University (GS-1-JO-NON-20240382).” now reads: “This research was supported by the Bio&Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2023-00262002).” The original Article has been corrected.

UR - http://www.scopus.com/inward/record.url?scp=85216717801&partnerID=8YFLogxK

U2 - 10.1038/s41598-025-87065-w

DO - 10.1038/s41598-025-87065-w

M3 - Comment/debate

C2 - 39849083

AN - SCOPUS:85216717801

SN - 2045-2322

VL - 15

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 2928

ER -

Correction to: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea (Scientific Reports, (2024), 14, 1, (29791), 10.1038/s41598-024-79654-y)

Abstract

Bibliographical note

UN SDGs

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