Temporal regularization of a dynamic graph network for ordinal prediction of discharge disposition after ischemic stroke in intensive care.
- DOI
- 10.1016/j.ijmedinf.2026.106778
- Published
- 2026 Oct 31
- Container
- International journal of medical informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2026.106778,
title = {Temporal regularization of a dynamic graph network for ordinal prediction of discharge disposition after ischemic stroke in intensive care.},
author = {Wang L and Wang Z and Wang C and Zhai P and Feng H and Liu H and Hou Q and Guo M},
year = {2026},
journal = {International journal of medical informatics},
doi = {10.1016/j.ijmedinf.2026.106778},
url = {https://doi.org/10.1016/j.ijmedinf.2026.106778}
}RIS
TY - JOUR TI - Temporal regularization of a dynamic graph network for ordinal prediction of discharge disposition after ischemic stroke in intensive care. AU - Wang L AU - Wang Z AU - Wang C AU - Zhai P AU - Feng H AU - Liu H AU - Hou Q AU - Guo M PY - 2026 JO - International journal of medical informatics DO - 10.1016/j.ijmedinf.2026.106778 UR - https://doi.org/10.1016/j.ijmedinf.2026.106778 ER -
APA
L, W., Z, W., C, W., P, Z., H, F., H, L., Q, H., & M, G. (2026). Temporal regularization of a dynamic graph network for ordinal prediction of discharge disposition after ischemic stroke in intensive care.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2026.106778
Source records
- pubmed · retrieved 2026-11-10T14:17:25.822Z