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.
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
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  Data: Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models.
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  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.
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  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.
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  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
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        Value: 10.31557/APJCP.2024.25.10.3609
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      – TitleFull: Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models.
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              Text: 2024 Oct 01
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