2007 | OriginalPaper | Chapter
An Interface for Medical Diagnosis Support
Authors : Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani, Rumiko Matsuoka
Published in: Knowledge-Based Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
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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.