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 |
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