Integrating Boruta, LASSO, and SHAP for Clinically Interpretable Glioma Classification Using Machine Learning.
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| Title: | Integrating Boruta, LASSO, and SHAP for Clinically Interpretable Glioma Classification Using Machine Learning. |
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| Authors: | Samara, Mohammad Najeh1 (AUTHOR), Harry, Kimberly D.1 (AUTHOR) kharry@binghamton.edu |
| Source: | BioMedInformatics. Sep2025, Vol. 5 Issue 3, p34. 26p. |
| 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: 188351215 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating Boruta, LASSO, and SHAP for Clinically Interpretable Glioma Classification Using Machine Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Samara%2C+Mohammad+Najeh%22">Samara, Mohammad Najeh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Harry%2C+Kimberly+D%2E%22">Harry, Kimberly D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kharry@binghamton.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BioMedInformatics%22">BioMedInformatics</searchLink>. Sep2025, Vol. 5 Issue 3, p34. 26p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188351215 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/biomedinformatics5030034 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 34 Titles: – TitleFull: Integrating Boruta, LASSO, and SHAP for Clinically Interpretable Glioma Classification Using Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Samara, Mohammad Najeh – PersonEntity: Name: NameFull: Harry, Kimberly D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 26737426 Numbering: – Type: volume Value: 5 – Type: issue Value: 3 Titles: – TitleFull: BioMedInformatics Type: main |
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