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

doi:10.1109/CCATS.2015.38

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

Department of Economic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	126-131
Number of pages	6
ISBN (Electronic)	9781467382113
DOIs	https://doi.org/10.1109/CCATS.2015.38
Publication status	Published - 2016 Jan 4
Event	1st International Conference on Computer Application Technologies, CCATS 2015 - Matsue, Japan Duration: 2015 Aug 31 → 2015 Sep 2

Other

Other	1st International Conference on Computer Application Technologies, CCATS 2015
Country	Japan
City	Matsue
Period	15/8/31 → 15/9/2

Keywords

evid
holistic
induction
Kampo medicine
knowledge discovery
machinery learning
medical data
objectification
prescription prediction
prescription-syndrome correspondence
robust prediction
statistical analysis
tacit knowledge
traditional medicine

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/CCATS.2015.38

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Cite this

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. In 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

Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine. / Mi, Xiaoyu; Ikeda, Hiroshi; Nakazawa, Fumihiko; Matsuoka, Hidetoshi; Kataoka, Erika; Hamaya, Satoshi; Tanaka, Tatsuo; Odaguchi, Hiroshi; Ishige, Tatsuya; Ito, Yuichi; Wakasugi, Akino; Kawanabe, Tadaaki; Sekine, Mariko; Hanawa, Toshihiko; Yamaguchi, Shinichi.

Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 126-131 7372328.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. in Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015., 7372328, Institute of Electrical and Electronics Engineers Inc., pp. 126-131, 1st International Conference on Computer Application Technologies, CCATS 2015, Matsue, Japan, 15/8/31. https://doi.org/10.1109/CCATS.2015.38

Mi, Xiaoyu ; Ikeda, Hiroshi ; Nakazawa, Fumihiko ; Matsuoka, Hidetoshi ; Kataoka, Erika ; Hamaya, Satoshi ; Tanaka, Tatsuo ; Odaguchi, Hiroshi ; Ishige, Tatsuya ; Ito, Yuichi ; Wakasugi, Akino ; Kawanabe, Tadaaki ; Sekine, Mariko ; Hanawa, Toshihiko ; Yamaguchi, Shinichi. / Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine. Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 126-131

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abstract = "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.",

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AU - Kataoka, Erika

AU - Hamaya, Satoshi

AU - Tanaka, Tatsuo

AU - Odaguchi, Hiroshi

AU - Ishige, Tatsuya

AU - Ito, Yuichi

AU - Wakasugi, Akino

AU - Kawanabe, Tadaaki

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