Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

De Marco, M., Beltrachini, L., Biancardi, A. et al. (2 more authors) (2017) Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments. Alzheimer Disease & Associated Disorders. ISSN 0893-0341

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Copyright, Publisher and Additional Information: © 2017 Lippincott, Williams & Wilkins. This is an author produced version of a paper subsequently published in Alzheimer Disease and Associated Disorders. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 1 October 2017
  • Published (online): 1 October 2017
  • Accepted: 1 August 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Cardiovascular Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7VPH DARE - 601055
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/M006328/1
Depositing User: Symplectic Sheffield
Date Deposited: 13 Dec 2017 11:19
Last Modified: 01 Oct 2018 00:40
Published Version: https://doi.org/10.1097/WAD.0000000000000208
Status: Published online
Publisher: Lippincott, Williams & Wilkins
Refereed: Yes
Identification Number: https://doi.org/10.1097/WAD.0000000000000208

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