Article
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE transactions on medical imaging - 1 Jan 2017
Ross James C, Castaldi Peter J, Cho Michael H, Chen Junxiang, Chang Yale, Dy Jennifer G, Silverman Edwin K, Washko George R, Jose Estepar Raul San
Abstract excerpt
We introduce a novel Bayesian nonparametric model that uses the concept of disease trajectories for disease subtype identification. Although our model is general, we demonstrate that by treating fractions of tissue patterns derived from medical images as compositional data, our model can be applied to study distinct progression trends between population subgroups. Specifically, we apply our algorithm to...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
