Analysis of medical care expenditure by Japanese prefecture using fuzzy robust regression model

Yoshiyuki Yabuuchi, Takayuki Kawaura, Junzo Watada

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

    1 Citation (Scopus)

    Abstract

    In 2012, 15.13% of the total fiscal medical care expenditure was for lifestyle-related health care costs, which was approximately 179 billion yen. Lifestyle-related diseases are not only the biggest factor in reducing healthy life expectancy but also have the most significant impact on the national medical care expenditure. In addition, lifestyle-related diseases can be prevented by moderate daily exercise, a well-balanced diet, and not smoking. Our fuzzy robust regression model is a controllable model describing a target system. Therefore, our model is used to analyze the relation between medical care expenditure and selected lifestyle factors.

    Original languageEnglish
    Title of host publicationStudies in Health Technology and Informatics
    PublisherIOS Press
    Pages400-409
    Number of pages10
    Volume207
    ISBN (Print)9781614994732
    DOIs
    Publication statusPublished - 2014
    Event2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014 - San Sebastian
    Duration: 2014 Jul 92014 Jul 11

    Other

    Other2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014
    CitySan Sebastian
    Period14/7/914/7/11

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    Keywords

    • fuzzy regression model
    • medical care cost
    • possibility grade

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

    Cite this

    Yabuuchi, Y., Kawaura, T., & Watada, J. (2014). Analysis of medical care expenditure by Japanese prefecture using fuzzy robust regression model. In Studies in Health Technology and Informatics (Vol. 207, pp. 400-409). IOS Press. https://doi.org/10.3233/978-1-61499-474-9-400