Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models
Our findings emphasize the significance of AI and ML techniques in improving BC outcomes and guiding decision-making. Further research is required to explore the broader applications of ML in predicting comprehensive BC outcomes in diverse healthcare settings and among heterogeneous populations.
Authors
- Amel Boulmaiz (ORCID: https://orcid.org/0000-0002-1602-6518)
- H. Aouras
- Khadidja Cheikchouk
- H. Djedi
- Hajira Berredjem (ORCID: https://orcid.org/0000-0001-9690-778X)
- Aicha Boulkrah
Institutions
- Badji Mokhtar-Annaba University (DZ)
Publication Details
- Journal
- Asian Pacific Journal of Cancer Prevention
- Published
- 2024-10-01
- DOI
- https://doi.org/10.31557/apjcp.2024.25.10.3609
- Citations
- 4
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 1.39