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Bayesian hierarchical vector autoregressive models for patient-level predictive modeling
Predicting health outcomes from longitudinal health histories is of central importance to healthcare. Observational healthcare databases such as patient diary databases provide a rich resource for patient-level predictive modeling. In this paper, we propose a Bayesian hierarchical vector autoregress...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6294362/ https://ncbi.nlm.nih.gov/pubmed/30550560 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0208082 |
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