2A3-4 メタボリック症候群特定健診データへのベイジアンネットワークの適用(OS11:医療・ヘルスケア応用(2))

概要

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The metabolic syndrome has become a significant problem in the world, and health checkup and guidance targeted on it has started from 2008 in Japan. In order to support this large undertaking from the side of information technology, we introduce ideas based on Bayesian networks in data mining technology. The Bayesian network has emerged in recent years as a powerful technique for handling uncertainty in complex domains and is expected to be appropriate methods in the health checkup domain that require analyzing the results with medical knowledge. In this work, we constructed some Bayesian networks connecting the information of physical examination and questionnaire on daily life style. By applying these network models to the field data of 12,230 subjects, the proposed method was found to provide better performance and show its usefulness.
一般社団法人日本機械学会の論文
2011-09-01