Peer-reviewedCC BY-NCBMJ open20 Oct 2026

Optimising hospital pharmacy inventory for high-value, intermittent-demand drugs using a machine-learning approach with LightGBM-Tweedie regression: a single-centre, retrospective study.

Yiwei Liu¹
Muzi Zhou¹
Jiahui Yu¹
Yang An¹
Guangmeng Nie¹
Zhaoshuai Ji¹
Lan Wang²

¹Pharmacy Department, Beijing Tsinghua Changgung Hospital. School of Clinical Medicine,Tsinghua Medicine, Tsinghua University, Beijing, China.
²Pharmacy Department, Beijing Tsinghua Changgung Hospital. School of Clinical Medicine,Tsinghua Medicine, Tsinghua University, Beijing, China [email protected].

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Cite

BibTeX

@article{liu2026optimising,
  title = {{Optimising hospital pharmacy inventory for high-value, intermittent-demand drugs using a machine-learning approach with LightGBM-Tweedie regression: a single-centre, retrospective study.}},
  author = {Yiwei Liu and Muzi Zhou and Jiahui Yu and Yang An and Guangmeng Nie and Zhaoshuai Ji and Lan Wang},
  journal = {BMJ open},
  year = {2026},
  month = oct,
  doi = {10.1136/bmjopen-2026-119366},
  url = {https://europepmc.org/article/MED/42901563},
  note = {CC BY-NC},
}

RIS

TY  - JOUR
TI  - Optimising hospital pharmacy inventory for high-value, intermittent-demand drugs using a machine-learning approach with LightGBM-Tweedie regression: a single-centre, retrospective study.
AU  - Yiwei Liu
AU  - Muzi Zhou
AU  - Jiahui Yu
AU  - Yang An
AU  - Guangmeng Nie
AU  - Zhaoshuai Ji
AU  - Lan Wang
PY  - 2026
DA  - 2026/10/20
JO  - BMJ open
DO  - 10.1136/bmjopen-2026-119366
UR  - https://europepmc.org/article/MED/42901563
SN  - 2044-6055
ER  -

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