WEKO3
アイテム
Integrating A Spoken Dialogue System, Nursing Records, and Activity Data Collection based on Smartphones
http://hdl.handle.net/10228/0002001437
http://hdl.handle.net/10228/000200143785c2bb91-78be-4233-8df4-29c21b0b688e
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
LaSEINE-2021_028.pdf (1.6 MB)
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| Item type | 共通アイテムタイプ(1) | |||||||||||||
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| 公開日 | 2025-03-06 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Integrating A Spoken Dialogue System, Nursing Records, and Activity Data Collection based on Smartphones | |||||||||||||
| 言語 | en | |||||||||||||
| 著者 |
Mairittha, Tittaya
× Mairittha, Tittaya
× Mairittha, Nattaya
× 井上, 創造
WEKO
27425
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| 著作権関連情報 | ||||||||||||||
| 言語 | en | |||||||||||||
| 権利情報 | Copyright (c) 2021 Elsevier B.V. All rights reserved | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Background and Objective: This study describes the integration of a spoken dialogue system and nursing records on an Android smartphone application intending to help nurses reduce documentation time and improve the overall experience of a healthcare setting. The application also incorporates with collecting personal sensor data and activity labels for activity recognition. Methods: We developed a joint model based on a bidirectional long-short term memory and conditional random fields (Bi-LSTM-CRF) to identify user intention and extract record details from user utterances. Then, we transformed unstructured data into record inputs on the smartphone application. Results: The joint model achieved the highest F1-score at 96.79%. Moreover, we conducted an experiment to demonstrate the proposed model’s capability and feasibility in recording in realistic settings. Our preliminary evaluation results indicate that when using the dialogue-based, we could increase the percentage of documentation speed to 58.13% compared to the traditional keyboard-based. Conclusions: Based on our findings, we highlight critical and promising future research directions regarding the design of the efficient spoken dialogue system and nursing records. | |||||||||||||
| 言語 | en | |||||||||||||
| 書誌情報 |
en : Computer Methods and Programs in Biomedicine 巻 210, p. 106364, 発行日 2021-09-06 |
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| 出版社 | ||||||||||||||
| 出版者 | Elsevier | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Electronic health record | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Nursing record | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Dialogue system | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Intent classification | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Entity extraction | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Activity recognition | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 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 | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
| DOI | ||||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1016/j.cmpb.2021.106364 | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | PISSN | |||||||||||||
| 収録物識別子 | 0169-2607 | |||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 1872-7565 | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html | |||||||||||||
| 論文ID（連携） | ||||||||||||||
| 値 | 10379325 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 9399 | |||||||||||||
