Optimising hospital pharmacy inventory for high-value, intermittent-demand drugs using a machine-learning approach with LightGBM-Tweedie regression: a single-centre, retrospective study.
- DOI
- 10.1136/bmjopen-2026-119366
- Published
- 2026 Oct 20
- Container
- BMJ open
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1136/bmjopen-2026-119366,
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 = {Liu Y and Zhou M and Yu J and An Y and Nie G and Ji Z and Wang L},
year = {2026},
journal = {BMJ open},
doi = {10.1136/bmjopen-2026-119366},
url = {https://doi.org/10.1136/bmjopen-2026-119366}
}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 - Liu Y AU - Zhou M AU - Yu J AU - An Y AU - Nie G AU - Ji Z AU - Wang L PY - 2026 JO - BMJ open DO - 10.1136/bmjopen-2026-119366 UR - https://doi.org/10.1136/bmjopen-2026-119366 ER -
APA
Y, L., M, Z., J, Y., Y, A., G, N., Z, J., & L, W. (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.. BMJ open. https://doi.org/10.1136/bmjopen-2026-119366
Source records
- pubmed · retrieved 2026-11-10T11:01:01.917Z