Development of PDAC diagnosis and prognosis evaluation models based on machine learning
This study built efficient PDAC diagnosis and prognosis models using ML, improving early diagnosis rates and prognosis accuracy. The DeepSurv model excelled in prognosis prediction and successfully guided personalized treatment recommendations and supporting PDAC clinical management.
Authors
- Shixin Sun (ORCID: https://orcid.org/0000-0003-1603-5868)
- Yingqi Xiao
- Yuan Huang (ORCID: https://orcid.org/0000-0002-7794-9412)
- Juling Zhang (ORCID: https://orcid.org/0000-0003-4968-3896)
- Bo Li (ORCID: https://orcid.org/0000-0002-1319-1454)
- Changde Du (ORCID: https://orcid.org/0000-0002-0084-433X)
- Lijun Zeng (ORCID: https://orcid.org/0009-0009-1365-0567)
- Han Li (ORCID: https://orcid.org/0000-0002-4343-076X)
- Xingwang Jia
- Jianmin Xu (ORCID: https://orcid.org/0000-0002-5462-8421)
- Xiaohan Li (ORCID: https://orcid.org/0000-0002-6007-5149)
- Yuan Fang (ORCID: https://orcid.org/0000-0002-0245-9291)
- Xiuyun Yin
- Nanshan Zheng (ORCID: https://orcid.org/0000-0002-5474-1854)
- Jing Zhao (ORCID: https://orcid.org/0000-0003-2446-7732)
- Boan Li (ORCID: https://orcid.org/0000-0003-1999-9398)
- Xuemei Yang (ORCID: https://orcid.org/0000-0002-2927-4166)
Institutions
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s12885-025-13929-z
- Citations
- 9
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 9.41
Funders
- Natural Science Foundation of Beijing Municipality