Time series forecasting of red blood cell demand in hematology patients using SARIMA and exponential smoothing models: a retrospective analysis in a Chinese tertiary hospital
Compared with the ES model, the SARIMA model has a smaller mean relative error in predicting RBCs usage in hematology patients. DM test also verify this result. But in the future, more similar research data are needed to make research more convincing.
Authors
- Qiong Yuan (ORCID: https://orcid.org/0000-0002-6763-8987)
- Jusong Liu
- Liang Cai (ORCID: https://orcid.org/0000-0002-5848-7304)
- Zhi Cai
- Xuemei Xu (ORCID: https://orcid.org/0009-0009-3480-1424)
Institutions
- Affiliated Hospital of Southwest Medical University (CN)
- Zigong First People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-11-24
- DOI
- https://doi.org/10.3389/fmed.2025.1582277
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00