Learning biomarker models for progression estimation of Alzheimer's disease

Schmidt-Richberg, A., Ledig, C., Guerrero, R. et al. (3 more authors) (2016) Learning biomarker models for progression estimation of Alzheimer's disease. PLoS ONE, 11 (4). ISSN 1932-6203

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: : © 2016 Schmidt-Richberg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Published: 20 April 2016
  • Accepted: 22 March 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7VPH DARE - 601055
EUROPEAN COMMISSION - FP6/FP7VPH-SHARE - 269978
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/M006328/1
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jul 2016 15:08
Last Modified: 25 Jul 2016 15:08
Published Version: http://dx.doi.org/10.1371/journal.pone.0153040
Status: Published
Publisher: Public Library of Science
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pone.0153040

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