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

Yoshiyuki Yabuuchi; Takayuki Kawaura; Junzo Watada

doi:10.1016/j.compbiomed.2016.01.010

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

Yoshiyuki Yabuuchi^*, Takayuki Kawaura, Junzo Watada

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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 language	English
Journal	Computers in Biology and Medicine
DOIs	https://doi.org/10.1016/j.compbiomed.2016.01.010
Publication status	Accepted/In press - 2015 Feb 5

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

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10.1016/j.compbiomed.2016.01.010

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

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.",

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T1 - Analysis of the relation between health statistics and eating habits in Japanese prefectures using fuzzy robust regression model

AU - Yabuuchi, Yoshiyuki

AU - Kawaura, Takayuki

AU - Watada, Junzo

PY - 2015/2/5

Y1 - 2015/2/5

N2 - 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.

AB - 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.

KW - Fuzzy robust regression model

KW - Lifestyle-related disease

KW - Medical care cost

KW - Number of outpatients

KW - Possibility grade

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

Abstract

Keywords

ASJC Scopus subject areas

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