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Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks

Research article (IEEE Journal of Biomedical and Health Informatics, 2023) · cited 35× · AI/ML
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Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks

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Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks is a scholarly article[1].

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  • Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-30-day-all-cause-hospital-readmission-using-multimodal-spatiotemporal-graph-neural-networks
MLA “Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-30-day-all-cause-hospital-readmission-using-multimodal-spatiotemporal-graph-neural-networks.
BibTeX @misc{4ortxyz_predicting-30-day-all-cause-hospital-readmission-using-multimodal-spatiotemporal-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-30-day-all-cause-hospital-readmission-using-multimodal-spatiotemporal-graph-neural-networks}, note = {Accessed: 2026-05-24}}
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