Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

Aoife Sweeney, Barry Devereux, Charlie Ong, John McKinley, Julia Foy, Brian Murphy, Bernadette McGuinness, Anthony Passmore

Research output: Contribution to conferenceAbstract

Original languageEnglish
Publication statusPublished - 02 Sep 2019
EventInternational Conference of the Royal Statistical Society (RSS 2019) - Belfast, United Kingdom
Duration: 02 Sep 201905 Sep 2019
https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=83705&ef_sel_menu=1647&eventID=270

Conference

ConferenceInternational Conference of the Royal Statistical Society (RSS 2019)
Abbreviated titleRSS 2019
CountryUnited Kingdom
CityBelfast
Period02/09/201905/09/2019
Internet address

Cite this

Sweeney, A., Devereux, B., Ong, C., McKinley, J., Foy, J., Murphy, B., ... Passmore, A. (2019). Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach. Abstract from International Conference of the Royal Statistical Society (RSS 2019), Belfast, United Kingdom.
Sweeney, Aoife ; Devereux, Barry ; Ong, Charlie ; McKinley, John ; Foy, Julia ; Murphy, Brian ; McGuinness, Bernadette ; Passmore, Anthony. / Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach. Abstract from International Conference of the Royal Statistical Society (RSS 2019), Belfast, United Kingdom.
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title = "Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach",
author = "Aoife Sweeney and Barry Devereux and Charlie Ong and John McKinley and Julia Foy and Brian Murphy and Bernadette McGuinness and Anthony Passmore",
year = "2019",
month = "9",
day = "2",
language = "English",
note = "International Conference of the Royal Statistical Society (RSS 2019), RSS 2019 ; Conference date: 02-09-2019 Through 05-09-2019",
url = "https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=83705&ef_sel_menu=1647&eventID=270",

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Sweeney, A, Devereux, B, Ong, C, McKinley, J, Foy, J, Murphy, B, McGuinness, B & Passmore, A 2019, 'Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach', International Conference of the Royal Statistical Society (RSS 2019), Belfast, United Kingdom, 02/09/2019 - 05/09/2019.

Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach. / Sweeney, Aoife; Devereux, Barry; Ong, Charlie; McKinley, John; Foy, Julia; Murphy, Brian; McGuinness, Bernadette; Passmore, Anthony.

2019. Abstract from International Conference of the Royal Statistical Society (RSS 2019), Belfast, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

AU - Sweeney, Aoife

AU - Devereux, Barry

AU - Ong, Charlie

AU - McKinley, John

AU - Foy, Julia

AU - Murphy, Brian

AU - McGuinness, Bernadette

AU - Passmore, Anthony

PY - 2019/9/2

Y1 - 2019/9/2

M3 - Abstract

ER -

Sweeney A, Devereux B, Ong C, McKinley J, Foy J, Murphy B et al. Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach. 2019. Abstract from International Conference of the Royal Statistical Society (RSS 2019), Belfast, United Kingdom.