RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
We developed a preliminary personalized treatment decision-support system (TDSS) called "RCC-Supporter" by applying machine learning (ML) algorithms to determine personalized treatment for the various clinical situations of RCC patients. Our results demonstrate the feasibility of using machine learning-based clinical decision support systems for treatment decisions in real clinical settings.
Authors
- Won Hoon Song (ORCID: https://orcid.org/0000-0003-1930-6045)
- Meeyoung Park (ORCID: https://orcid.org/0000-0002-9909-0442)
Institutions
- Pusan National University Yangsan Hospital (KR)
- Pusan National University (KR)
- Kyungnam University (KR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s12911-024-02660-7
- Citations
- 2
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Research Foundation
- Pusan National University
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea