An Interface for Medical Diagnosis Support

Authors:
Akinori Abe;Norihiro Hagita;Michiko Furutani;Yoshiyuki Furutani;Rumiko Matsuoka
Affiliations:
International Research and Educational Institute for Integrated Medical Science (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan and ATR Knowledge Sc ...;International Research and Educational Institute for Integrated Medical Science (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan and ATR Intelligent ...;International Research and Educational Institute for Integrated Medical Science (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan;International Research and Educational Institute for Integrated Medical Science (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan;International Research and Educational Institute for Integrated Medical Science (IREIIMS), Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

Citing 4
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Abstract

In this paper, we propose an interactive interface to show results by C4.5 on a web browser, where the physicians can easily check the correspondence data on decision trees. With the interface, physicians can easily confirm or correct clinical data and analyzed results. We also propose a web-based interface that can estimate health levels of unknown data, and that can be used for medical diagnosis support. We show an interactive procedure by using the web-based interface and the possibility of chance discovery process where we can discover hidden or rare but very important relationships in a medical diagnosis support.