3 papers
stat.CO2025
A variational Bayes latent class approach for EHR-based patient phenotyping in R
Brian Buckley, Adrian O'Hagan, Marie Galligan
The VBphenoR package for R provides a closed-form variational Bayes approach to patient phenotyping using Electronic Health Records (EHR) data. We implement a variational Bayes Gau…
stat.AP2023
Variational Bayes latent class approach for EHR-based phenotyping with large real-world data
Brian Buckley, Adrian O'Hagan, Marie Galligan
We investigate the performance and characteristics of currently available VB and MCMC software to explore the practicability of available approaches and provide guidance for clinic…
stat.AP2023
Variational Bayes latent class approach for EHR-based phenotyping with large real-world data
Brian Buckley, Adrian O'Hagan, Marie Galligan
Bayesian approaches to clinical analyses for the purposes of patient phenotyping have been limited by the computational challenges associated with applying the Markov-Chain Monte-C…