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ID 14790
Eprint ID
14790
フルテキストURL
著者
Mera Kazuya Hiroshima City University
Ichimura Takumi Hiroshima City University
抄録
Diabetes is a metabolic disorder characterized by the elevation of blood glucose. Glysemic control can delay the onset and slow the progression of vascular complications. Lifestyle modification including weight reduction can contribute significantly to glycemic control. The Health Support Intelligent System for Diabetic Patients (HSISD) can provide guideline-based decision support for lifestyle 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.
発行日
2008-12
出版物タイトル
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
2008巻
1号
出版者
IEEE SMC Hiroshima Chapter
開始ページ
31
終了ページ
36
資料タイプ
会議発表論文
言語
English
イベント
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
イベント地
東広島市
イベント地の別言語
Higashi-Hiroshima City
論文のバージョン
publisher
査読
有り
Eprints Journal Name
IWCIA