Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
35th (2021)
Session ID : 3F1-GS-10i-04
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Decision of Feature Importances for Blood Test Analysis
*Takumi YOSHIDATohgoroh MATSUI
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Abstract

In this paper, we will extract important test items from blood test data by using game theory-based importance decisions. Since the weights were based on the number of occurrences of the test items selected by the stepwise method, the weights were assigned uniformly regardless of the order of occurrences and were not necessarily appropriate in terms of importance. In this paper, we propose a method of assigning weights to test items selected by the stepwise method by using the importance decision method based on game theory. It is also applied to actual blood test data to extract test items that are considered important.

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© 2021 The Japanese Society for Artificial Intelligence
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