Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models.
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| Title: | Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models. |
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| Authors: | Boulmaiz A; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria.; Environmental Biosurveillance Laboratory, Department of Biology, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria., Berredjem H; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria., Cheikchouk K; Medical Oncology Service, Cancer Research Centre (CLCC), 23000 Annaba, Algeria., Boulkrah A; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria., Aouras H; Abdallah Nouaouiria Health Hospital Establishment - El Bouni, 23000 Annaba, Algeria., Djedi H; Medical Oncology Service, Cancer Research Centre (CLCC), 23000 Annaba, Algeria. |
| Source: | Asian Pacific journal of cancer prevention : APJCP [Asian Pac J Cancer Prev] 2024 Oct 01; Vol. 25 (10), pp. 3609-3618. Date of Electronic Publication: 2024 Oct 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Asian Pacific Organization for Cancer Prevention Country of Publication: Thailand NLM ID: 101130625 Publication Model: Electronic Cited Medium: Internet ISSN: 2476-762X (Electronic) Linking ISSN: 15137368 NLM ISO Abbreviation: Asian Pac J Cancer Prev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39471028 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Boulmaiz+A%22">Boulmaiz A</searchLink>; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria.; Environmental Biosurveillance Laboratory, Department of Biology, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria.<br /><searchLink fieldCode="AU" term="%22Berredjem+H%22">Berredjem H</searchLink>; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria.<br /><searchLink fieldCode="AU" term="%22Cheikchouk+K%22">Cheikchouk K</searchLink>; Medical Oncology Service, Cancer Research Centre (CLCC), 23000 Annaba, Algeria.<br /><searchLink fieldCode="AU" term="%22Boulkrah+A%22">Boulkrah A</searchLink>; Laboratory of Applied Biochemistry and Microbiology, Department of Biochemistry, Faculty of Sciences, University of Badji Mokhtar, 23000 Annaba, Algeria.<br /><searchLink fieldCode="AU" term="%22Aouras+H%22">Aouras H</searchLink>; Abdallah Nouaouiria Health Hospital Establishment - El Bouni, 23000 Annaba, Algeria.<br /><searchLink fieldCode="AU" term="%22Djedi+H%22">Djedi H</searchLink>; Medical Oncology Service, Cancer Research Centre (CLCC), 23000 Annaba, Algeria. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101130625%22">Asian Pacific journal of cancer prevention : APJCP</searchLink> [Asian Pac J Cancer Prev] 2024 Oct 01; Vol. 25 (10), pp. 3609-3618. <i>Date of Electronic Publication: </i>2024 Oct 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Asian+Pacific+Organization+for+Cancer+Prevention%22">Asian Pacific Organization for Cancer Prevention </searchLink><i>Country of Publication: </i>Thailand <i>NLM ID: </i>101130625 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2476-762X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215137368%22">15137368 </searchLink><i>NLM ISO Abbreviation: </i>Asian Pac J Cancer Prev <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39471028 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.31557/APJCP.2024.25.10.3609 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3609 Titles: – TitleFull: Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Boulmaiz A – PersonEntity: Name: NameFull: Berredjem H – PersonEntity: Name: NameFull: Cheikchouk K – PersonEntity: Name: NameFull: Boulkrah A – PersonEntity: Name: NameFull: Aouras H – PersonEntity: Name: NameFull: Djedi H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2024 Oct 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2476-762X Numbering: – Type: volume Value: 25 – Type: issue Value: 10 Titles: – TitleFull: Asian Pacific journal of cancer prevention : APJCP Type: main |
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