Title
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
Abstract
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 algori...
Year
DOI
Venue
2017
10.1109/TMI.2016.2608782
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Diseases,Trajectory,Data models,Computed tomography,Lungs,Bayes methods,Histograms
COPD,Population,Disease,Multivariate statistics,Ordinary least squares,Single-nucleotide polymorphism,Bioinformatics,Subtyping,Cross-validation,Medicine
Journal
Volume
Issue
ISSN
36
1
0278-0062
Citations 
PageRank 
References 
1
0.39
5
Authors
9
Name
Order
Citations
PageRank
James C. Ross1788.89
Peter J. Castaldi2144.68
Michael H Cho3144.95
Junxiang Chen453.87
Yale Chang5103.30
Jennifer G. Dy61567126.18
Edwin K. Silverman7587.75
George R. Washko88411.32
Raúl San José Estépar923829.27