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Author Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women.

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Title: Author Correction: Machine learning analysis for the association between breast feeding and metabolic syndrome in women.
Authors: Lee JS; Department of Pediatrics, Korea University College of Medicine, Korea University Anam Hospital, Seoul, South Korea., Choi ES; Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea., Lee H; Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea., Son S; Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea., Lee KS; AI Center, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. ecophy@hanmail.net., Ahn KH; Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. akh1220@hanmail.net.
Source: Scientific reports [Sci Rep] 2024 Mar 26; Vol. 14 (1), pp. 7146. Date of Electronic Publication: 2024 Mar 26.
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
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  Data: <searchLink fieldCode="AU" term="%22Lee+JS%22">Lee JS</searchLink>; Department of Pediatrics, Korea University College of Medicine, Korea University Anam Hospital, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Choi+ES%22">Choi ES</searchLink>; Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+H%22">Lee H</searchLink>; Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Son+S%22">Son S</searchLink>; Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Lee+KS%22">Lee KS</searchLink>; AI Center, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. ecophy@hanmail.net.<br /><searchLink fieldCode="AU" term="%22Ahn+KH%22">Ahn KH</searchLink>; Department of Obstetrics and Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. akh1220@hanmail.net.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Mar 26; Vol. 14 (1), pp. 7146. <i>Date of Electronic Publication: </i>2024 Mar 26.
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  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
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        Value: 10.1038/s41598-024-57571-4
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