Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid
We developed an ML model that predicts cytological outcomes in CSF using routinely available body fluid parameters. The model demonstrated consistent performance during external validation.
Authors
- Xianfei Ye (ORCID: https://orcid.org/0009-0004-5988-8304)
- Yunying Chen
- Xinfeng Zhao
- Yuexin Lou (ORCID: https://orcid.org/0000-0002-3179-8444)
- Hongkang Pan
Institutions
- Hangzhou Children's Hospital (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1515/cclm-2025-0302
- Primary Topic
- Reliability and Agreement in Measurement
- Type
- article
- Field-Weighted Citation Impact
- 0.00