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User's Comment Classifying Method Using Self Organizing Feature Map on Healthcare System for Diabetic
https://hiroshima-cu.repo.nii.ac.jp/records/1446
https://hiroshima-cu.repo.nii.ac.jp/records/144621095cd4-fb46-4be1-a761-8932bdfe9486
名前 / ファイル | ライセンス | アクション |
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10-01-PG080001.pdf (589.0 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2023-03-02 | |||||
タイトル | ||||||
タイトル | User's Comment Classifying Method Using Self Organizing Feature Map on Healthcare System for Diabetic | |||||
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_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
MERA, Kazuya
× MERA, Kazuya× ICHIMURA, Takumi× 目良, 和也× 市村, 匠 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Diabetes is a metabolic disorder characterized by the elevation of blood glucose. Glysemic control can delay the onset and slow progression of vascular complications. Lifestyle modification including weight reduction can contribute significantly to glysemic control. The Health Support Intelligent System for Diabetic Patients(HSISD) can provide guideline-based decision support for life style modifications in the treatment of diabetes. HSISD also provides opportunities for telecounseling(TC) with the use of mobile devices and the Internet. The telecounseling phase inquires about the patient's condition and the patient answer in a questionnaire. In the questionnaire, there is a question like "Have you developed any symptoms of anxiety? If yes, tell me the details." The answer is described freely so the physician should read all of patient's answer. But it is hard for physicians to read all text carefully because a physician has a lot of patients. We propose a method to analyze text data from the patients and classify them into five anxiety types(mental problem, physical problem, diet, physical activity, and medicine) automatically. Related to the classified anxiety type, the method can analyze the patient's inner emotion to guess serious and emergency degree of the patient. In this method, Self organizing feature map is trained by the distribution of feature words(morphemes) in the input text and also classifies anxiety type and emotion type. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 査読有り | |||||
書誌情報 |
4th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008 p. 31-36, 発行日 2008-12 |
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出版者 | ||||||
出版者 | IEEE SMC Hiroshima Chapter | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1883-3977 | |||||
権利 | ||||||
権利情報 | ©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |