Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models.

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Bibliographic Details
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
Description
ISSN:2476-762X
DOI:10.31557/APJCP.2024.25.10.3609