MARATTO

article · Asian Pacific Journal of Cancer Prevention

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

20244 citationsOpen accessBadji Mokhtar University Annaba

Abstract

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.

Research topics

  • AI in cancer detection
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.31557/apjcp.2024.25.10.3609

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.