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11/16/2020 12:40:45 PM | Browse: 396 | Download: 1232
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Received |
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2020-07-21 01:01 |
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Peer-Review Started |
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2020-07-21 01:02 |
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To Make the First Decision |
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Return for Revision |
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2020-09-17 21:15 |
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Revised |
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2020-09-27 15:05 |
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Second Decision |
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2020-10-10 08:19 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-10-11 17:46 |
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Articles in Press |
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2020-10-11 17:46 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-11-02 08:15 |
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Typeset the Manuscript |
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2020-11-13 02:18 |
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Publish the Manuscript Online |
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2020-11-16 10:05 |
| ISSN |
2220-3206 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Psychiatry |
| Manuscript Type |
Case Control Study |
| Article Title |
Best early-onset Parkinson dementia predictor using ensemble learning among Parkinson's symptoms, rapid eye movement sleep disorder, and neuropsychological profile
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Haewon Byeon |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education |
NRF-2018R1D1A1B07041091 |
| Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education |
NRF-2019S1A5A8034211 |
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| Corresponding Author |
Haewon Byeon, DSc, PhD, Professor, Department of Medical Big Data, College of AI Convergence, Inje University, NA, Gimhae 50834, Gyeonsangnamdo, South Korea. bhwpuma@naver.com |
| Key Words |
Early-onset Parkinson dementia; Ensemble learning method; Neuropsychological test; Risk factor; Discriminant analysis; Naive Bayesian model |
| Core Tip |
It is believed that if Korean Mini Mental State Examination (K-MMSE) is given priority over other cognitive screening tests in order to distinguish early-onset Parkinson dementia (EOPD) from Parkinson’s disease, the accuracy of detecting EOPD will be higher than conducting other screening tests first. However, further epidemiological studies will be needed to fully comprehend the results of better accuracy of K-MMSE than that of Korean Montreal Cognitive Assessment while detecting EOPD using the developed ensemble-based prediction model. |
| Publish Date |
2020-11-16 10:05 |
| Citation |
Byeon H. Best early-onset Parkinson dementia predictor using ensemble learning among Parkinson's symptoms, rapid eye movement sleep disorder, and neuropsychological profile. World J Psychiatr 2020; 10(11): 245-259 |
| URL |
https://www.wjgnet.com/2220-3206/full/v10/i11/245.htm |
| DOI |
https://dx.doi.org/10.5498/wjp.v10.i11.245 |
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