Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model
A novel ML model was developed for accurate prognosis prediction in HLBC patients, offering valuable insights into prognostic risk factors. This model equips clinicians with enhanced data to guide treatment decisions, ultimately contributing to improved patient outcomes.
Authors
- Xiaolu Yang (ORCID: https://orcid.org/0000-0001-6755-7725)
- Ma Li (ORCID: https://orcid.org/0000-0002-8948-0391)
- Yilun Li (ORCID: https://orcid.org/0000-0002-4677-1607)
Institutions
- Hebei Medical University (CN)
- Fourth Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1186/s12885-024-13241-2
- Citations
- 2
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Hebei Medical University