Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells
The decision tree model was successfully constructed based on clinical indicators and preoperative circulating blood cells, and showed better results in predicting benign and malignant ovarian cancer than alone imaging indicators or biomarkers among our data, which means that our model can more accurately predict benign and malignant ovarian cancer.
Authors
- Yingjia Li (ORCID: https://orcid.org/0000-0002-8885-2317)
- Li-Na Gong
- Enuo Peng
- Yanhua Zhou (ORCID: https://orcid.org/0000-0002-4099-4893)
- Xingping Zhao (ORCID: https://orcid.org/0000-0003-1071-4683)
Institutions
- Central South University (CN)
- Third Xiangya Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1186/s12911-025-02934-8
- Citations
- 4
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.79