Predicting cancer mortality using machine learning methods: a global vs. Iran analysis
This research underscores the potential of ML to inform personalized treatment plans and improve cancer care while addressing challenges such as data imbalances and regional disparities. The findings provide valuable insights for policymakers, researchers, and healthcare providers in developing targeted interventions to reduce the global cancer burden.
Authors
- Fatemeh Seif (ORCID: https://orcid.org/0000-0002-1532-293X)
- H. Sadeghi (ORCID: https://orcid.org/0000-0002-8772-951X)
Institutions
- Arak University of Medical Sciences (IR)
- Arak University (IR)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1186/s12885-025-14796-4
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94