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

Yoshiyuki Yabuuchi; Takayuki Kawaura; Junzo Watada

doi:10.3233/978-1-61499-474-9-400

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

Yoshiyuki Yabuuchi^*, Takayuki Kawaura, Junzo Watada

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Studies in Health Technology and Informatics
Publisher	IOS Press
Pages	400-409
Number of pages	10
Volume	207
ISBN (Print)	9781614994732
DOIs	https://doi.org/10.3233/978-1-61499-474-9-400
Publication status	Published - 2014
Event	2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014 - San Sebastian Duration: 2014 Jul 9 → 2014 Jul 11

Other

Other	2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014
City	San Sebastian
Period	14/7/9 → 14/7/11

Keywords

fuzzy regression model
medical care cost
possibility grade

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/978-1-61499-474-9-400

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, IOS Press, pp. 400-409, 2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014, San Sebastian, 14/7/9. https://doi.org/10.3233/978-1-61499-474-9-400

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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.",

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AU - Watada, Junzo

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N2 - 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.

AB - 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.

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KW - possibility grade

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ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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