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