Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases.
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| Title: | Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases. |
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| Authors: | Zhang, Huai-wen1 (AUTHOR) 1761580890@qq.com, Wang, Yi-ren2,3 (AUTHOR), Hu, Bo4 (AUTHOR), Song, Bo5 (AUTHOR), Wen, Zhong-jian2 (AUTHOR), Su, Lei6 (AUTHOR), Chen, Xiao-man2 (AUTHOR), Wang, Xi1 (AUTHOR), Zhou, Ping7,8 (AUTHOR), Zhong, Xiao-ming1 (AUTHOR) 378136142@qq.com, Pang, Hao-wen9 (AUTHOR) haowenpang@foxmail.com, Wang, You-hua10 (AUTHOR) 1129810010@qq.com |
| Source: | Scientific Reports. 11/19/2024, Vol. 14 Issue 1, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190277474 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Huai-wen%22">Zhang, Huai-wen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 1761580890@qq.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yi-ren%22">Wang, Yi-ren</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Bo%22">Hu, Bo</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Bo%22">Song, Bo</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Zhong-jian%22">Wen, Zhong-jian</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Lei%22">Su, Lei</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiao-man%22">Chen, Xiao-man</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xi%22">Wang, Xi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Ping%22">Zhou, Ping</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Xiao-ming%22">Zhong, Xiao-ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 378136142@qq.com</i><br /><searchLink fieldCode="AR" term="%22Pang%2C+Hao-wen%22">Pang, Hao-wen</searchLink><relatesTo>9</relatesTo> (AUTHOR)<i> haowenpang@foxmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+You-hua%22">Wang, You-hua</searchLink><relatesTo>10</relatesTo> (AUTHOR)<i> 1129810010@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/19/2024, Vol. 14 Issue 1, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190277474 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-80210-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Huai-wen – PersonEntity: Name: NameFull: Wang, Yi-ren – PersonEntity: Name: NameFull: Hu, Bo – PersonEntity: Name: NameFull: Song, Bo – PersonEntity: Name: NameFull: Wen, Zhong-jian – PersonEntity: Name: NameFull: Su, Lei – PersonEntity: Name: NameFull: Chen, Xiao-man – PersonEntity: Name: NameFull: Wang, Xi – PersonEntity: Name: NameFull: Zhou, Ping – PersonEntity: Name: NameFull: Zhong, Xiao-ming – PersonEntity: Name: NameFull: Pang, Hao-wen – PersonEntity: Name: NameFull: Wang, You-hua IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 11 Text: 11/19/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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