The prognostic value of POD24 for multiple myeloma: a comprehensive analysis based on traditional statistics and machine learning
This study suggests that POD24 may be associated to the survival outcomes in multiple myeloma using both traditional statistical and machine learning approaches. Our findings highlight the potential value of POD24 in mortality risk prediction and demonstrate the utilization of ANN-based SHAP interpretation in enhancing model transparency.
Authors
- Yuye Shi (ORCID: https://orcid.org/0000-0002-6853-3386)
- Wenting Shi (ORCID: https://orcid.org/0000-0002-3720-2189)
- Zhengmei He
- Chuanyang Lu (ORCID: https://orcid.org/0000-0001-7640-5774)
- Q. Zhang (ORCID: https://orcid.org/0000-0001-7952-615X)
- Qiuni Chen
- Yifan Wang (ORCID: https://orcid.org/0000-0001-8056-9755)
- Yue Chen (ORCID: https://orcid.org/0000-0002-9529-1626)
- Jingjing Ma (ORCID: https://orcid.org/0000-0001-7562-4262)
- Liang Yu (ORCID: https://orcid.org/0009-0007-3922-3454)
- Chunling Wang (ORCID: https://orcid.org/0000-0001-8239-2754)
Institutions
- Xuzhou Medical College (CN)
- Huaian First People’s Hospital (CN)
- Second People’s Hospital of Huai’an (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1186/s12885-025-15089-6
- Primary Topic
- Multiple Myeloma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00