research-article

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients

Authors:

Jeremy Cosgrove,

Stuart Jamieson,

Stephen L. Smith,

David W. Corne,

Michael A. LonesAuthors Info & Claims

GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion

Pages 1369 - 1376

https://doi.org/10.1145/2908961.2931731

Published: 20 July 2016 Publication History

Abstract

Parkinson's disease (PD) is a chronic neurodegenerative condition. Traditionally categorised as a movement disorder, nowadays it is recognised that PD can also lead to significant cognitive dysfunction including, in many cases, full-blown dementia. Due to the wide range of symptoms, including significant overlap with other neurodegenerative conditions, both diagnosis and prognosis remain challenging. In this paper, we describe our use of a multi-objective evolutionary algorithm to explore trade-offs between polynomial regression models that predict different clinical measures, with the aim of identifying features that are most indicative of motor and cognitive PD variants. Our initial results are promising, showing that polynomial regression models are able to predict clinical measures with good accuracy, and that suitable predictive features can be identified.

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Cited By

Lones MSmith S(2023)Evolutionary Machine Learning in MedicineHandbook of Evolutionary Machine Learning10.1007/978-981-99-3814-8_20(591-609)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-981-99-3814-8_20
Fraser DKeedwell EMichell SSheridan RAuger AStützle T(2019)EMOCSProceedings of the Genetic and Evolutionary Computation Conference10.1145/3321707.3321802(1174-1182)Online publication date: 13-Jul-2019
https://dl.acm.org/doi/10.1145/3321707.3321802
Vallejo MCorne D(2016)Evolutionary algorithms under noise and uncertainty: A location-allocation case study2016 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI.2016.7849959(1-10)Online publication date: Dec-2016
https://doi.org/10.1109/SSCI.2016.7849959
Show More Cited By

Index Terms

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients

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cover image ACM Conferences

GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion

July 2016

1510 pages

ISBN:9781450343237

DOI:10.1145/2908961

Editor:
Tobias Friedrich
Hasso Plattner Institute
,
General Chair:
Frank Neumann
University of Adelaide
,
Program Chair:
Andrew M. Sutton
Hasso Plattner Institute

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation

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New York, NY, United States

Publication History

Published: 20 July 2016

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Engineering and Physical Sciences Research Council

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GECCO '16

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GECCO '16: Genetic and Evolutionary Computation Conference

July 20 - 24, 2016

Colorado, Denver, USA

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GECCO '16 Companion Paper Acceptance Rate 137 of 381 submissions, 36%;

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

Lones MSmith S(2023)Evolutionary Machine Learning in MedicineHandbook of Evolutionary Machine Learning10.1007/978-981-99-3814-8_20(591-609)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-981-99-3814-8_20
Fraser DKeedwell EMichell SSheridan RAuger AStützle T(2019)EMOCSProceedings of the Genetic and Evolutionary Computation Conference10.1145/3321707.3321802(1174-1182)Online publication date: 13-Jul-2019
https://dl.acm.org/doi/10.1145/3321707.3321802
Vallejo MCorne D(2016)Evolutionary algorithms under noise and uncertainty: A location-allocation case study2016 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI.2016.7849959(1-10)Online publication date: Dec-2016
https://doi.org/10.1109/SSCI.2016.7849959
Vallejo MJamieson SCosgrove JSmith SLones MAlty JCorne D(2016)Exploring diagnostic models of Parkinson's disease with multi-objective regression2016 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI.2016.7849884(1-8)Online publication date: Dec-2016
https://doi.org/10.1109/SSCI.2016.7849884

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