Computational approaches for understanding the diagnosis and treatment of Parkinson's disease

Smith, S.L., Lones, M.A., Bedder, M. et al. (8 more authors) (2015) Computational approaches for understanding the diagnosis and treatment of Parkinson's disease. IET Systems Biology, 9 (6). pp. 226-233.

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Copyright, Publisher and Additional Information: © 2015 Institution of Engineering and Technology. This is an author produced version of a paper subsequently published in IET Systems Biology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: sensors; diseases; drugs; genetic algorithms; medical diagnostic computing; patient diagnosis; patient monitoring; patient treatment.
Dates:
  • Published: 19 November 2015
  • Accepted: 3 July 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Cardiovascular Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Feb 2017 13:13
Last Modified: 29 Mar 2018 08:11
Published Version: https://doi.org/10.1049/iet-syb.2015.0030
Status: Published
Publisher: Institution of Engineering and Technology
Identification Number: https://doi.org/10.1049/iet-syb.2015.0030

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