Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model

Yoshiyuki Yabuuchi, Takayuki Kawaura, Junzo Watada

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    In recent years, the Japanese Ministry of Health, Labour, and Welfare is working to improve citizen's lifestyle and social environment to improve their health. This is because of the following reasons. Diseases related to lifestyle such as malignant neoplasms, heart disease, and cerebrovascular disease account for about 60% of the deaths in 2013. In addition, 32% of all medical expenditures are made on lifestyle-related disease. Lifestyle-related diseases can be prevented by daily exercise, a well-balanced diet, and not smoking. This ministry is promoting measures such as dietary education, physical activity, and exercise. Improvement of diet is the easiest way to reduce the occurrence of lifestyle-related diseases. Thus, in this paper, we analyze the relation between health and diet using our fuzzy robust regression model.

    Original languageEnglish
    JournalComputers in Biology and Medicine
    DOIs
    Publication statusAccepted/In press - 2015 Feb 5

    Fingerprint

    Feeding Behavior
    Life Style
    Health
    Statistics
    Nutrition
    Diet
    Cerebrovascular Disorders
    Social Environment
    Health Expenditures
    Heart Diseases
    Smoking
    Exercise
    Education
    Personnel
    Neoplasms

    Keywords

    • Fuzzy robust regression model
    • Lifestyle-related disease
    • Medical care cost
    • Number of outpatients
    • Possibility grade

    ASJC Scopus subject areas

    • Computer Science Applications
    • Health Informatics

    Cite this

    Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model. / Yabuuchi, Yoshiyuki; Kawaura, Takayuki; Watada, Junzo.

    In: Computers in Biology and Medicine, 05.02.2015.

    Research output: Contribution to journalArticle

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