Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine

Xiaoyu Mi, Hiroshi Ikeda, Fumihiko Nakazawa, Hidetoshi Matsuoka, Erika Kataoka, Satoshi Hamaya, Tatsuo Tanaka, Hiroshi Odaguchi, Tatsuya Ishige, Yuichi Ito, Akino Wakasugi, Tadaaki Kawanabe, Mariko Sekine, Toshihiko Hanawa, Shinichi Yamaguchi

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

This paper focuses on the attempt to formulate the prescription prediction logic based on the medical data analysis towards the future computer-assisted-diagnosis for Kampo medicine. We constructed and evaluated prediction models for some frequently-used prescriptions using six kinds of machine learning algorithms including artificial neural network, multinomial logit, random forest, support vector machine, k-nearest neighbor, and decision tree. The possibility of prescription prediction and the necessary amount of data required for robust prediction are clarified.

元の言語English
ホスト出版物のタイトルProceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015
出版者Institute of Electrical and Electronics Engineers Inc.
ページ126-131
ページ数6
ISBN(電子版)9781467382113
DOI
出版物ステータスPublished - 2016 1 4
イベント1st International Conference on Computer Application Technologies, CCATS 2015 - Matsue, Japan
継続期間: 2015 8 312015 9 2

Other

Other1st International Conference on Computer Application Technologies, CCATS 2015
Japan
Matsue
期間15/8/3115/9/2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • これを引用

    Mi, X., Ikeda, H., Nakazawa, F., Matsuoka, H., Kataoka, E., Hamaya, S., Tanaka, T., Odaguchi, H., Ishige, T., Ito, Y., Wakasugi, A., Kawanabe, T., Sekine, M., Hanawa, T., & Yamaguchi, S. (2016). Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine. : Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015 (pp. 126-131). [7372328] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCATS.2015.38