Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy
The model created using the RF algorithm was excellent in terms of predictive accuracy and precision, and can be used for early identification of the risk of self-reported symptom burden clusters in breast cancer patients undergoing chemotherapy.
Authors
- Xuqian Zong (ORCID: https://orcid.org/0009-0002-5384-3450)
- Yang Yang (ORCID: https://orcid.org/0009-0002-9172-8226)
- Fulei Wu (ORCID: https://orcid.org/0000-0003-2197-3875)
- Wen Zhang (ORCID: https://orcid.org/0000-0001-6118-3136)
- Qingmei Huang (ORCID: https://orcid.org/0000-0002-7113-0609)
Institutions
- Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
Publication Details
- Journal
- Supportive Care in Cancer
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1007/s00520-025-09236-9
- Citations
- 2
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Natural Science Foundation of China