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Multiple Cost Optimisation for Alzheimer's Disease Diagnosis

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

McCombe Niamh¹,Ding Xuemei¹,Prasad Girijesh¹,Finn David P.²,Todd Stephen³,McClean Paula L.⁴,Wong-Lin KongFatt¹,Initiative Neuroimaging²

Affiliation:

1. Intelligent Systems Research Centre, Ulster University, Magee campus, Derry Londonderry,Northern Ireland

2. Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre and Centre for Pain Research, National University of Ireland,Galway,Ireland

3. Altnagelvin Area Hospital, Western Health and Social Care Trust, Derry Londonderry,NI,UK

4. Ulster University NI Centre for Stratified Medicine, Biomedical Sciences Research Institute, C-TRIC, Derry Londonderry,NI,UK

Funder

Alzheimer's Research UK (ARUK)

Alzheimer's Disease Neuroimaging Initiative (ADNI)

National Institutes of Health

Department of Defense

National Institute on Aging

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09872002.pdf?arnumber=9872002

Reference30 articles.

1. Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

2. Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data

3. Screening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning

4. A framework for cost-based feature selection

5. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment

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