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  1. 学術雑誌論文
  2. 4 自然科学

Predicting Wearing-Off of Parkinson’s Disease Patients Using a Wrist-Worn Fitness Tracker and a Smartphone: A Case Study

http://hdl.handle.net/10228/00008455
http://hdl.handle.net/10228/00008455
91593a37-a0f2-400a-a43a-b1ccd84991b8
名前 / ファイル ライセンス アクション
applsci-11-07354-v2.pdf applsci-11-07354-v2.pdf (2.3 MB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
公開日 2021-09-09
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル Predicting Wearing-Off of Parkinson’s Disease Patients Using a Wrist-Worn Fitness Tracker and a Smartphone: A Case Study
言語 en
言語
言語 eng
著者 Victorino, John Noel

× Victorino, John Noel

WEKO 31286

en Victorino, John Noel

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Shibata, Yuko

× Shibata, Yuko

WEKO 31287

en Shibata, Yuko

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井上, 創造

× 井上, 創造

WEKO 27425
e-Rad 90346825
Scopus著者ID 9335840200
九工大研究者情報 140

en Inoue, Sozo

ja 井上, 創造

ja-Kana イノウエ, ソウゾウ


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柴田, 智広

× 柴田, 智広

WEKO 27592
e-Rad 40359873
Scopus著者ID 35460767600
ORCiD 0000-0002-8766-4250
九工大研究者情報 100000703

en Shibata, Tomohiro

ja 柴田, 智広

ja-Kana シバタ, トモヒロ


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抄録
内容記述タイプ Abstract
内容記述 Parkinson’s disease (PD) patients experience varying symptoms related to their illness. Therefore, each patient needs a tailored treatment program from their doctors. One approach is the use of anti-PD medicines. However, a “wearing-off” phenomenon occurs when these medicines lose their effect. As a result, patients start to experience the symptoms again until their next medicine intake. In the long term, the duration of “wearing-off” begins to shorten. Thus, patients and doctors have to work together to manage PD symptoms effectively. This study aims to develop a prediction model that can determine the “wearing-off” of anti-PD medicine. We used fitness tracker data and self-reported symptoms from a smartphone application in a real-world environment. Two participants wore the fitness tracker for a month while reporting any symptoms using the Wearing-Off Questionnaire (WoQ-9) on a smartphone application. Then, we processed and combined the datasets for each participant’s models. Our analysis produced prediction models for each participant. The average balanced accuracy with the best hyperparameters was at 70.0–71.7% for participant 1 and 76.1–76.9% for participant 2, suggesting that our approach would be helpful to manage the “wearing-off” of anti-PD medicine, motor fluctuations of PD patients, and customized treatment for PD patients.
書誌情報 Applied Sciences

巻 11, 号 16, p. 7354-1-7354-22, 発行日 2021-08-10
出版社
出版者 MDPI
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/app11167354
日本十進分類法
主題Scheme NDC
主題 491
ISSN
収録物識別子タイプ EISSN
収録物識別子 2076-3417
著作権関連情報
権利情報 Copyright (c) 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
キーワード
主題Scheme Other
主題 prediction
キーワード
主題Scheme Other
主題 statistical model
キーワード
主題Scheme Other
主題 wearing-off phenomenon
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html
論文ID(連携)
値 10379323
連携ID
値 9259
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