Machine learning models for predicting of PD-1 treatment efficacy in Pan-cancer patients based on routine hematologic and biochemical parameters.
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| Title: | Machine learning models for predicting of PD-1 treatment efficacy in Pan-cancer patients based on routine hematologic and biochemical parameters. |
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| Authors: | Yang, Wenjian1,2 (AUTHOR), Chen, Cui3 (AUTHOR), Ouyang, Qiangqiang4 (AUTHOR), Han, Runkun1 (AUTHOR) hanrk@sysucc.org.cn, Sun, Peng5 (AUTHOR) sunp@sysucc.org.cn, Chen, Hao1 (AUTHOR) chenhao@sysucc.org.cn |
| Source: | Cancer Cell International. 7/21/2024, Vol. 24 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 178527161 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning models for predicting of PD-1 treatment efficacy in Pan-cancer patients based on routine hematologic and biochemical parameters. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Wenjian%22">Yang, Wenjian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Cui%22">Chen, Cui</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ouyang%2C+Qiangqiang%22">Ouyang, Qiangqiang</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Runkun%22">Han, Runkun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hanrk@sysucc.org.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Peng%22">Sun, Peng</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> sunp@sysucc.org.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Hao%22">Chen, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenhao@sysucc.org.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cancer+Cell+International%22">Cancer Cell International</searchLink>. 7/21/2024, Vol. 24 Issue 1, p1-10. 10p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178527161 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12935-024-03439-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Machine learning models for predicting of PD-1 treatment efficacy in Pan-cancer patients based on routine hematologic and biochemical parameters. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Wenjian – PersonEntity: Name: NameFull: Chen, Cui – PersonEntity: Name: NameFull: Ouyang, Qiangqiang – PersonEntity: Name: NameFull: Han, Runkun – PersonEntity: Name: NameFull: Sun, Peng – PersonEntity: Name: NameFull: Chen, Hao IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 07 Text: 7/21/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 14752867 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: Cancer Cell International Type: main |
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