Use of kernel-based Bayesian models to predict late osteolysis after hip replacement. (2013)

First Author: Aram P
Attributed to:  System Identification and Information Processing for Complex Systems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rsif.2013.0678

PubMed Identifier: 24047875

Publication URI: http://europepmc.org/abstract/MED/24047875

Type: Journal Article/Review

Volume: 10

Parent Publication: Journal of the Royal Society, Interface

Issue: 88

ISSN: 1742-5662