ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 会議発表論文
  2. 4th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008

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/1446
21095cd4-fb46-4be1-a761-8932bdfe9486
名前 / ファイル ライセンス アクション
10-01-PG080001.pdf 10-01-PG080001.pdf (589.0 kB)
Item type 会議発表論文 / Conference Paper(1)
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

MERA, Kazuya

ja-Kana メラ, カズヤ

Search repository
ICHIMURA, Takumi

× ICHIMURA, Takumi

ICHIMURA, Takumi

ja-Kana イチムラ, タクミ

Search repository
目良, 和也

× 目良, 和也

en 目良, 和也

Search repository
市村, 匠

× 市村, 匠

en 市村, 匠

Search repository
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
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
戻る
0
views
See details
Views

Versions

Ver.1 2023-07-25 10:45:36.181430
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3