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アイテム
Sensor Data Analytics to Complement Sparse and Incomplete Medical Records for Diabetes Disease Management
http://hdl.handle.net/10228/0002001509
http://hdl.handle.net/10228/0002001509e5cb48e0-a4a3-4fc8-93ad-46c4e5b267a4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
10218431.pdf (62.5 KB)
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| Item type | 共通アイテムタイプ(1) | |||||||||||||||||||
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| 公開日 | 2025-03-26 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Sensor Data Analytics to Complement Sparse and Incomplete Medical Records for Diabetes Disease Management | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 著者 |
Rudy Raymond
× Rudy Raymond
× 中島, 直樹
× 野原, 康伸
× 井上, 創造
WEKO
27425
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| 抄録 | ||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||
| 内容記述 | Diabetes mellitus is considered one of the main chronic diseases, and uncontrolled diabetes can lead to various complications that trigger other chronic diseases. Disease management for diabetes is therefore important to reduce the total healthcare cost. Unfortunately, managing diabetic patients is often difficult due to their sparse and incomplete medical records. Many patients drop out during treatment, and each patient might require different treatment. On the other hand, the widespread use of mobile devices with various sensors and instant communication capability has enabled healthcare providers to collect and monitor patients’ condition. In this paper, we study the role of sensor data analytics to complement sparse and incomplete medical records for diabetes disease management. We test various machine-learning techniques on real-world datasets of diabetic patients, and show that sensor datasets can be used to improve the precision of methods identifying high-risk patients. | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 備考 | ||||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | Workshop on Pattern Recognition for Healthcare Analytics, 21st International Conference on Pattern Recognition, 11-15 November 2012, Tsukuba, Japan | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 書誌情報 |
p. 5-8, 発行日 2012-11 |
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| 言語 | eng | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||||||||||
| 資源タイプ | conference paper | |||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||
| 出版タイプ | AM | |||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||||||||
| 会議記述 | ||||||||||||||||||||
| 会議名 | Workshop on Pattern Recognition for Healthcare Analytics, 21st International Conference on Pattern Recognition | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 開始年 | 2012 | |||||||||||||||||||
| 開始月 | 11 | |||||||||||||||||||
| 開始日 | 11 | |||||||||||||||||||
| 終了年 | 2012 | |||||||||||||||||||
| 終了月 | 11 | |||||||||||||||||||
| 終了日 | 15 | |||||||||||||||||||
| 開催国 | JPN | |||||||||||||||||||
| 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 | 10218431 | |||||||||||||||||||
| 連携ID | ||||||||||||||||||||
| 値 | 9524 | |||||||||||||||||||
