Estimating facility-level greenhouse gas emissions in U.S. hospitals with machine learning imputation of incomplete self-reported data.
- DOI
- 10.1016/j.cesys.2026.100461
- Published
- 2026 Sep
- Container
- Cleaner environmental systems
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.cesys.2026.100461,
title = {Estimating facility-level greenhouse gas emissions in U.S. hospitals with machine learning imputation of incomplete self-reported data.},
author = {Yin H and Eckel SP and Kaur M and Cohen G and Sutherland L and Tome M and Chen BE and Motamed A and Meshkati N and Hu H and McConnell R and Sharma B},
year = {2026},
journal = {Cleaner environmental systems},
doi = {10.1016/j.cesys.2026.100461},
url = {https://doi.org/10.1016/j.cesys.2026.100461}
}RIS
TY - JOUR TI - Estimating facility-level greenhouse gas emissions in U.S. hospitals with machine learning imputation of incomplete self-reported data. AU - Yin H AU - Eckel SP AU - Kaur M AU - Cohen G AU - Sutherland L AU - Tome M AU - Chen BE AU - Motamed A AU - Meshkati N AU - Hu H AU - McConnell R AU - Sharma B PY - 2026 JO - Cleaner environmental systems DO - 10.1016/j.cesys.2026.100461 UR - https://doi.org/10.1016/j.cesys.2026.100461 ER -
APA
H, Y., SP, E., M, K., G, C., L, S., M, T., BE, C., A, M., N, M., H, H., R, M., & B, S. (2026). Estimating facility-level greenhouse gas emissions in U.S. hospitals with machine learning imputation of incomplete self-reported data.. Cleaner environmental systems. https://doi.org/10.1016/j.cesys.2026.100461
Source records
- pubmed · retrieved 2026-09-27T15:32:23.488Z