2024-03-29T16:01:21Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00018582
2023-01-16T05:08:26Z
320:502:503
A Study on Disease Search Support System using HK Graph
Hao, Bo
Yoshikawa, Tomohiro
Furuhashi, Takeshi
Sugiura, Shin-ichi
open access
HK Graph
Disease Search
Symptom
Recently, public interest in health is growing. In addition, the rapid development of information technology gives us much medical information, that places increased demands on the medical support systems using the information. The aim of this study is to develop a medical support system by using Hierarchical Keyword Graph (HK Graph). This system infers and shows the candidates of the name of disease with graph structure after a user inputs his/her symptoms. Then it shows appropriate hospitals considering the disease, specialty of each hospital, the distance from home, and so on. This paper focuses on the part of the inference of disease from inputted symptoms. It proposes interactive disease search support system using HK Graph which can visualize the relationship among words with network structure based on the co-occurrence information.
Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, September 17-21, 2008, Nagoya University, Nagoya, Japan
Session ID: SU-G2-4
日本知能情報ファジィ学会
2008
eng
conference paper
VoR
http://hdl.handle.net/2237/20679
https://nagoya.repo.nii.ac.jp/records/18582
https://doi.org/10.14864/softscis.2008.0.2004.0
SCIS & ISIS
2008
2004
2007
https://nagoya.repo.nii.ac.jp/record/18582/files/2008_2004.pdf
application/pdf
815.4 kB
2018-02-21