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アイテム
Analysis of Obese Patients Using Machine Learning to Categorize Hidden Risk Factors in Explorative Assessment
http://hdl.handle.net/10228/0002001761
http://hdl.handle.net/10228/000200176148a28528-b391-43af-9681-b79f2e8e06c9
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
10460649.pdf (479.3 KB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||||
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| 公開日 | 2025-07-10 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Analysis of Obese Patients Using Machine Learning to Categorize Hidden Risk Factors in Explorative Assessment | |||||||||||||
| 言語 | en | |||||||||||||
| 著者 |
Krishnamoorthy, R.
× Krishnamoorthy, R.
× 田中, 和明
WEKO
35561
× Thiagarajan, R.
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| 著作権関連情報 | ||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||||||||||
| 権利情報 | Copyright (c) 2024 IEICES/Kyushu University. All rights reserved. Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
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| 言語 | en | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Obesity has a multitude of detrimental impacts on both mental and physical health, along with an increased risk of acquiring chronic illnesses including coronary heart disease, diabetes, and stroke, as well as anxiety and depression conditions. Using forecasting analytics, researchers may develop therapies and prevention methods that are tailored to a particular behavior and medical knowledge. Data analytics examines the greater risk of contracting diseases associated with obesity in order to target a specific group. In order to undertake efficient treatments, it is primarily important to gather and evaluate data on issues associated with obesity. Gathering the abnormal diet, lifestyle, and previous medical history tends to indicate whether the individual is affected by an obese hidden risk factor. Machine learning can assist in early diagnosis and anticipate potential health problems associated with obesity. The proposed approach involves various machine learning techniques to analyze comprehensive data on diet, lifestyle. | |||||||||||||
| 言語 | en | |||||||||||||
| 備考 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 10th International Exchange and Innovation Conference on Engineering & Science(IEICES), October 17-18, 2024, Kyushu University, Japan | |||||||||||||
| 言語 | en | |||||||||||||
| 書誌情報 |
en : Proceedings of International Exchange and Innovation Conference on Engineering & Sciences 巻 10, p. 685-691, 発行日 2024-10-17 |
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| 出版社 | ||||||||||||||
| 出版者 | International Exchange and Innovation Conference on Engineering & Sciences | |||||||||||||
| 言語 | en | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Obesity | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Machine Learning | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Data Analytics | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Coronary Heart Disease | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Chronic Illness | |||||||||||||
| 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 | VoR | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
| DOI | ||||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.5109/7323336 | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 2434-1436 | |||||||||||||
| 会議記述 | ||||||||||||||
| 会議名 | International Exchange and Innovation Conference on Engineering & Science(IEICES) | |||||||||||||
| 言語 | en | |||||||||||||
| 回次 | 10 | |||||||||||||
| 主催機関 | Interdisciplinary Graduate School Of Engineering Sciences (IGSES) Kyushu University | |||||||||||||
| 言語 | en | |||||||||||||
| 開始年 | 2024 | |||||||||||||
| 開始月 | 10 | |||||||||||||
| 開始日 | 17 | |||||||||||||
| 終了年 | 2024 | |||||||||||||
| 終了月 | 10 | |||||||||||||
| 終了日 | 18 | |||||||||||||
| 開催会場 | Kyushu University | |||||||||||||
| 言語 | en | |||||||||||||
| 開催国 | JPN | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/251_ja.html | |||||||||||||
| 論文ID（連携） | ||||||||||||||
| 値 | 10460649 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 14639 | |||||||||||||
