Predicting chemotherapy-induced myelosuppression in colorectal cancer: An interpretable, machine learning-based nomogram
The clinic-machine learning nomogram accurately predicts chemotherapy-induced myelosuppression in colorectal cancer, providing interpretability and clinical utility to support individualized risk assessment and treatment decision-making.
Authors
- Ruiying Fang
- Yuming Liu (ORCID: https://orcid.org/0000-0001-8003-9607)
- Huibo Yu
- Ying Song
- Yan-Yuan Du
- Bai-Hui Li
- Hong-Tai Xiong
- Hongquan Zhang (ORCID: https://orcid.org/0000-0001-8193-0899)
- Siyu Ma (ORCID: https://orcid.org/0000-0002-7717-6069)
- Honggang Zheng (ORCID: https://orcid.org/0000-0002-1982-0995)
- Jin Gao
- Cai Liu (ORCID: https://orcid.org/0009-0000-7660-7819)
- Rui Cai (ORCID: https://orcid.org/0009-0006-2823-3051)
Institutions
- Beijing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- China-Japan Friendship Hospital (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-11-13
- DOI
- https://doi.org/10.3748/wjg.v31.i42.112180
- Citations
- 2
- Primary Topic
- Neutropenia and Cancer Infections
- Type
- article
- Field-Weighted Citation Impact
- 2.09