Journal article

Using path signatures to predict a diagnosis of Alzheimer’s disease

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Moore, P., Lyons, T., & Gallacher, J. (2019). Using path signatures to predict a diagnosis of Alzheimer’s disease. PLoS One, 14(9).

MLA Style

Moore, P., et al. “Using Path Signatures to Predict a Diagnosis of Alzheimer’s Disease.” PLoS One, vol. 14, no. 9, Public Library of Science, 2019.

Chicago Style

Moore, P, T Lyons, and J Gallacher. 2019. “Using Path Signatures to Predict a Diagnosis of Alzheimer’s Disease.” PLoS One 14 (9).
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Files:: journal.pone.0222212.pdf

(Preview, Version of record, pdf, 1.1MB, Terms of use)

Publisher copy:: 10.1371/journal.pone.0222212

Authors

+ Moore, P More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Mathematical Institute
Role:: Author
ORCID:: 0000-0001-6171-4072

+ Lyons, T More by this author

Institution:: University of Oxford
Division:: MPLS Division
Department:: Mathematical Institute
Role:: Author

+ Gallacher, J More by this author

Institution:: University of Oxford
Division:: Medical Sciences Division
Department:: Psychiatry
Role:: Author

Publisher:: Public Library of Science
Journal:: PLoS One More from this journal
Volume:: 14
Issue:: 9
Article number:: e0222212
Publication date:: 2019-09-19
Acceptance date:: 2019-08-23
DOI:: 10.1371/journal.pone.0222212
EISSN:: 1932-6203

Language:: English
Keywords:: FFR
Pubs id:: pubs:1054523
UUID:: uuid:4dc95e33-c625-47a8-846a-492e9bbbc835
Local pid:: pubs:1054523
Source identifiers:: 1054523
Deposit date:: 2019-09-20

Terms of use

Copyright date:: 2019
Notes:: © 2019 Moore et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Licence:: CC Attribution (CC BY)

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