Analysis of questionnaire for traditional medical and develop decision support system

Kotoe Katayama, Seiya Imoto, Kenji Watanabe, Rui Ymaguchi, Keiko Matsuura, Satoru Miyano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Pages762-763
Number of pages2
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 - Philadelphia, PA, United States
Duration: 2012 Oct 42012 Oct 7

Publication series

NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

Other

Other2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
CountryUnited States
CityPhiladelphia, PA
Period12/10/412/10/7

Keywords

  • Random forest
  • Traditional medicine
  • machine learning

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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