Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data.
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| Title: | Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data. |
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| Authors: | Seto H; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Human Sciences, Osaka University, Osaka, 565-0871, Japan., Oyama A; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan. ooyama@hacc.osaka-u.ac.jp., Kitora S; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan., Toki H; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Research Center for Nuclear Physics, Osaka University, Osaka, 567-0047, Japan., Yamamoto R; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Health Promotion and Regulation, Department of Health Promotion Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan., Kotoku J; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, 173-8605, Japan., Haga A; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Biomedical Sciences, Tokushima University, Tokushima, 770-8503, Japan., Shinzawa M; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan., Yamakawa M; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan., Fukui S; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Department of Home and Palliative Care Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan., Moriyama T; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Health Promotion and Regulation, Department of Health Promotion Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan. |
| Source: | Scientific reports [Sci Rep] 2022 Dec 30; Vol. 12 (1), pp. 22599. Date of Electronic Publication: 2022 Dec 30. |
| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36585468 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Seto+H%22">Seto H</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Human Sciences, Osaka University, Osaka, 565-0871, Japan.<br /><searchLink fieldCode="AU" term="%22Oyama+A%22">Oyama A</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan. ooyama@hacc.osaka-u.ac.jp.<br /><searchLink fieldCode="AU" term="%22Kitora+S%22">Kitora S</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.<br /><searchLink fieldCode="AU" term="%22Toki+H%22">Toki H</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Research Center for Nuclear Physics, Osaka University, Osaka, 567-0047, Japan.<br /><searchLink fieldCode="AU" term="%22Yamamoto+R%22">Yamamoto R</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Health Promotion and Regulation, Department of Health Promotion Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan.<br /><searchLink fieldCode="AU" term="%22Kotoku+J%22">Kotoku J</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Medical Care and Technology, Teikyo University, Tokyo, 173-8605, Japan.<br /><searchLink fieldCode="AU" term="%22Haga+A%22">Haga A</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Graduate School of Biomedical Sciences, Tokushima University, Tokushima, 770-8503, Japan.<br /><searchLink fieldCode="AU" term="%22Shinzawa+M%22">Shinzawa M</searchLink>; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.<br /><searchLink fieldCode="AU" term="%22Yamakawa+M%22">Yamakawa M</searchLink>; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.<br /><searchLink fieldCode="AU" term="%22Fukui+S%22">Fukui S</searchLink>; Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Department of Home and Palliative Care Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan.<br /><searchLink fieldCode="AU" term="%22Moriyama+T%22">Moriyama T</searchLink>; Health Care Division, Health and Counseling Center, Osaka University, Osaka, 560-0043, Japan.; Department of Nephrology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.; Health Promotion and Regulation, Department of Health Promotion Medicine, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Dec 30; Vol. 12 (1), pp. 22599. <i>Date of Electronic Publication: </i>2022 Dec 30. – 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=36585468 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-27052-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 22599 Titles: – TitleFull: Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Seto H – PersonEntity: Name: NameFull: Oyama A – PersonEntity: Name: NameFull: Kitora S – PersonEntity: Name: NameFull: Toki H – PersonEntity: Name: NameFull: Yamamoto R – PersonEntity: Name: NameFull: Kotoku J – PersonEntity: Name: NameFull: Haga A – PersonEntity: Name: NameFull: Shinzawa M – PersonEntity: Name: NameFull: Yamakawa M – PersonEntity: Name: NameFull: Fukui S – PersonEntity: Name: NameFull: Moriyama T IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 12 Text: 2022 Dec 30 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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