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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Detalles Bibliográficos
Autores principales: Lu, Feihan, Zheng, Yao, Cleveland, Harrington, Burton, Chris, Madigan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294362/
https://www.ncbi.nlm.nih.gov/pubmed/30550560
http://dx.doi.org/10.1371/journal.pone.0208082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294362/
https://www.ncbi.nlm.nih.gov/pubmed/30550560
http://dx.doi.org/10.1371/journal.pone.0208082

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