View in EDS

Author Correction: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea.

Saved in:
Bibliographic Details
Title: Author Correction: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea.
Authors: Sang H; Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea., Park J; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea., Kim S; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea., Lee M; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea., Lee H; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea., Lee SH; Global 365MC Hospital, Daejeon, South Korea., Yon DK; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea. yonkkang@gmail.com.; Department of Pediatrics, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea. yonkkang@gmail.com., Rhee SY; Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea. rheesy@khu.ac.kr.; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. rheesy@khu.ac.kr.
Source: Scientific reports [Sci Rep] 2025 Jan 23; Vol. 15 (1), pp. 2928. Date of Electronic Publication: 2025 Jan 23.
Publication Type: Published Erratum
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39849083
AccessLevel: 2
PubTypeId: unknown
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Author Correction: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sang+H%22">Sang H</searchLink>; Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+M%22">Lee M</searchLink>; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SH%22">Lee SH</searchLink>; Global 365MC Hospital, Daejeon, South Korea.<br /><searchLink fieldCode="AU" term="%22Yon+DK%22">Yon DK</searchLink>; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. yonkkang@gmail.com.; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea. yonkkang@gmail.com.; Department of Pediatrics, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea. yonkkang@gmail.com.<br /><searchLink fieldCode="AU" term="%22Rhee+SY%22">Rhee SY</searchLink>; Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea. rheesy@khu.ac.kr.; Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea. rheesy@khu.ac.kr.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Jan 23; Vol. 15 (1), pp. 2928. <i>Date of Electronic Publication: </i>2025 Jan 23.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Published Erratum
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39849083
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-025-87065-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2928
    Titles:
      – TitleFull: Author Correction: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sang H
      – PersonEntity:
          Name:
            NameFull: Park J
      – PersonEntity:
          Name:
            NameFull: Kim S
      – PersonEntity:
          Name:
            NameFull: Lee M
      – PersonEntity:
          Name:
            NameFull: Lee H
      – PersonEntity:
          Name:
            NameFull: Lee SH
      – PersonEntity:
          Name:
            NameFull: Yon DK
      – PersonEntity:
          Name:
            NameFull: Rhee SY
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 01
              Text: 2025 Jan 23
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1