Comprehensive survival analysis of breast cancer patients: a bayesian network approach
Through the integration of validated parametric survival models with a data-driven BBN, this study delivers a comprehensive framework for estimating individualized survival probabilities and visualizing the complex probabilistic relationships that characterize high-risk cancer patient profiles. This approach supports evidence-based, personalized breast cancer management and demonstrates the potential for guiding clinical decision-making and adapting to diverse external patient cohorts.
Authors
- Andrei Sleptchenko (ORCID: https://orcid.org/0000-0001-7188-5692)
- Mecit Can Emre Simsekler (ORCID: https://orcid.org/0000-0002-1555-5012)
- Khaled M. Toffaha (ORCID: https://orcid.org/0000-0002-7765-5430)
- Aydah M. Al-Awadhi (ORCID: https://orcid.org/0000-0002-6402-1316)
- Aamna Al Shehhi
Institutions
- Khalifa University of Science and Technology (AE)
- Sheikh Shakhbout Medical City (AE)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12911-025-03197-z
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Khalifa University of Science, Technology and Research