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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence
OBJECTIVE: We aim to develop a hybrid model for earlier and more accurate predictions for the number of infected cases in pandemics by (1) using patients’ claims data from different counties and states that capture local disease status and medical resource utilization; (2) utilizing demographic simi...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7928935/ https://ncbi.nlm.nih.gov/pubmed/33486527 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa322 |
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