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

Fingerprint Dive into the research topics of 'Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine'. Together they form a unique fingerprint.

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

@inproceedings{f3ce8e26e6e14ef39174460a5b49bd17,

title = "Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine",

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.",

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",

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

year = "2016",

month = jan,

day = "4",

doi = "10.1109/CCATS.2015.38",

language = "English",

pages = "126--131",

booktitle = "Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "1st International Conference on Computer Application Technologies, CCATS 2015 ; Conference date: 31-08-2015 Through 02-09-2015",

}

TY - GEN

T1 - Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine

AU - Mi, Xiaoyu

AU - Ikeda, Hiroshi

AU - Nakazawa, Fumihiko

AU - Matsuoka, Hidetoshi

AU - Kataoka, Erika

AU - Hamaya, Satoshi

AU - Tanaka, Tatsuo

AU - Odaguchi, Hiroshi

AU - Ishige, Tatsuya

AU - Ito, Yuichi

AU - Wakasugi, Akino

AU - Kawanabe, Tadaaki

AU - Sekine, Mariko

AU - Hanawa, Toshihiko

AU - Yamaguchi, Shinichi

PY - 2016/1/4

Y1 - 2016/1/4

N2 - 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.

AB - 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.

KW - evid

KW - holistic

KW - induction

KW - Kampo medicine

KW - knowledge discovery

KW - machinery learning

KW - medical data

KW - objectification

KW - prescription prediction

KW - prescription-syndrome correspondence

KW - robust prediction

KW - statistical analysis

KW - tacit knowledge

KW - traditional medicine

UR - http://www.scopus.com/inward/record.url?scp=84964721804&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964721804&partnerID=8YFLogxK

U2 - 10.1109/CCATS.2015.38

DO - 10.1109/CCATS.2015.38

M3 - Conference contribution

AN - SCOPUS:84964721804

SP - 126

EP - 131

BT - Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Computer Application Technologies, CCATS 2015

Y2 - 31 August 2015 through 2 September 2015

ER -

Prescription Prediction towards Computer-Assisted Diagnosis for Kampo Medicine

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this