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.

Liu J, Yuan Q, Cai L, Cai Z, Xu X.

Open source

DOI
10.3389/fmed.2025.1582277
Published
2025-11-24
Container
Front Med (Lausanne)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fmed.2025.1582277,
  title = {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.},
  author = {Liu J and  Yuan Q and  Cai L and  Cai Z and  Xu X.},
  year = {2025},
  journal = {Front Med (Lausanne)},
  doi = {10.3389/fmed.2025.1582277},
  url = {https://doi.org/10.3389/fmed.2025.1582277}
}

RIS

TY  - JOUR
TI  - 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.
AU  - Liu J
AU  -  Yuan Q
AU  -  Cai L
AU  -  Cai Z
AU  -  Xu X.
PY  - 2025
JO  - Front Med (Lausanne)
DO  - 10.3389/fmed.2025.1582277
UR  - https://doi.org/10.3389/fmed.2025.1582277
ER  - 

APA

J, L., Q, Y., L, C., Z, C., & X., X. (2025). 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.. Front Med (Lausanne). https://doi.org/10.3389/fmed.2025.1582277

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