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M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective

Scott Yang Orcid Logo, Jose Miguel Sanchez Bornot, Kongfatt Wong-Lin, Girijesh Prasad

IEEE Transactions on Biomedical Engineering, Volume: 66, Issue: 10, Pages: 2924 - 2935

Swansea University Author: Scott Yang Orcid Logo

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DOI (Published version): 10.1109/tbme.2019.2898871

Published in: IEEE Transactions on Biomedical Engineering
ISSN: 0018-9294 1558-2531
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa58934
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first_indexed 2021-12-06T22:13:35Z
last_indexed 2021-12-31T04:28:58Z
id cronfa58934
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spelling 2021-12-30T14:38:56.1513253 v2 58934 2021-12-06 M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective 81dc663ca0e68c60908d35b1d2ec3a9b 0000-0002-6618-7483 Scott Yang Scott Yang true false 2021-12-06 SCS Journal Article IEEE Transactions on Biomedical Engineering 66 10 2924 2935 Institute of Electrical and Electronics Engineers (IEEE) 0018-9294 1558-2531 18 9 2019 2019-09-18 10.1109/tbme.2019.2898871 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2021-12-30T14:38:56.1513253 2021-12-06T22:11:55.3527781 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Scott Yang 0000-0002-6618-7483 1 Jose Miguel Sanchez Bornot 2 Kongfatt Wong-Lin 3 Girijesh Prasad 4
title M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
spellingShingle M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
Scott Yang
title_short M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
title_full M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
title_fullStr M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
title_full_unstemmed M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
title_sort M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
author_id_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b
author_id_fullname_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b_***_Scott Yang
author Scott Yang
author2 Scott Yang
Jose Miguel Sanchez Bornot
Kongfatt Wong-Lin
Girijesh Prasad
format Journal article
container_title IEEE Transactions on Biomedical Engineering
container_volume 66
container_issue 10
container_start_page 2924
publishDate 2019
institution Swansea University
issn 0018-9294
1558-2531
doi_str_mv 10.1109/tbme.2019.2898871
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2019-09-18T04:15:51Z
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score 11.012678

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