Bayesian hierarchical vector autoregressive models for patient-level predictive modeling.

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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Bibliographic Details
Main Authors: Feihan Lu, Yao Zheng, Harrington Cleveland, Chris Burton, David Madigan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0208082

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