Personalized three-year survival prediction and prognosis forecast by interpretable machine learning for pancreatic cancer patients: a population-based study and an external validation
Our ML models demonstrate excellent accuracy and reliability, offering more precise personalized prognostic prediction to pancreatic cancer patients.
Authors
- Jun Ma (ORCID: https://orcid.org/0000-0001-6406-0772)
- M. Ge
- Miao Miao (ORCID: https://orcid.org/0000-0002-7912-7308)
- Xiaofeng Zhang (ORCID: https://orcid.org/0000-0003-2738-3286)
- Wei Li (ORCID: https://orcid.org/0009-0008-0018-036X)
- Buwei Teng
Institutions
- Xuzhou Medical College (CN)
- Second People’s Hospital of Huai’an (CN)
- The First People’s Hospital of Lianyungang (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-21
- DOI
- https://doi.org/10.3389/fonc.2024.1488118
- Citations
- 8
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 2.26