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2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (2012)
Philadelphia, USA USA
Oct. 4, 2012 to Oct. 7, 2012
ISBN: 978-1-4673-2746-6
pp: 762-763
Kotoe Katayama , Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku Tokyo, Japan 108-8639
Seiya Imoto , Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku Tokyo, Japan 108-8639
Kenji Watanabe , Center of Kampo Medicine, Keio University School of Medicine, 35 Shinano-machi, Shinjyuku-ku Tokyo, Japan 160-8582
Rui Ymaguchi , Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku Tokyo, Japan 108-8639
Keiko Matsuura , Center of Kampo Medicine, Keio University School of Medicine, 35 Shinano-machi, Shinjyuku-ku Tokyo, Japan 160-8582
Satoru Miyano , Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku Tokyo, Japan 108-8639
ABSTRACT
In Japanese traditional medicine, "Monshin" plays an important role. "Monshin" is a questionnaire that asked the patient's lifestyle and subjective symptoms. Specialists decide traditional herbal medicine by using of "Monshin". In this research, we analyze "Monshin" and predict "Sho" which is the name of a disease.
INDEX TERMS
machine learning, Traditional medicine, random forest
CITATION

K. Katayama, S. Imoto, K. Watanabe, R. Ymaguchi, K. Matsuura and S. Miyano, "Analysis of questionnaire for traditional medical and develop decision support system," 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops(BIBMW), Philadelphia, USA USA, 2012, pp. 762-763.
doi:10.1109/BIBMW.2012.6470235
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