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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R. (2007). An Interface for Medical Diagnosis Support. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_114
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DOI: https://doi.org/10.1007/978-3-540-74827-4_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
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