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IJERPH
Volume 18
Issue 2
10.3390/ijerph18020565
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Article

Does Last Year’s Cost Predict the Present Cost? An Application of Machine Leaning for the Japanese Area-Basis Public Health Insurance Database

by
Yoshiaki Nomura
1,*,
Yoshimasa Ishii
2,
Yota Chiba
2,
Shunsuke Suzuki
2,
Akira Suzuki
2,
Senichi Suzuki
2,
Kenji Morita
2,
Joji Tanabe
2,
Koji Yamakawa
2,
Yasuo Ishiwata
2,
Meu Ishikawa
1,
Kaoru Sogabe
1,
Erika Kakuta
3,
Ayako Okada
4,
Ryoko Otsuka
1 and
Nobuhiro Hanada
1
1
Department of Translational Research, Tsurumi University School of Dental Medicine, Yokohama 230-8501, Japan
2
Ebina Dental Association, Kanagawa 243-0421, Japan
3
Department of Oral Microbiology, Tsurumi University School of Dental Medicine, Yokohama 230-8501, Japan
4
Department of Operative Dentistry, Tsurumi University School of Dental Medicine, Yokohama 230-8501, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(2), 565; https://doi.org/10.3390/ijerph18020565
Received: 14 November 2020 / Revised: 15 December 2020 / Accepted: 7 January 2021 / Published: 12 January 2021
(This article belongs to the Special Issue Big Data in Dental Research and Oral Healthcare)
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Abstract

The increasing healthcare cost imposes a large economic burden for the Japanese government. Predicting the healthcare cost may be a useful tool for policy making. A database of the area-basis public health insurance of one city was analyzed to predict the medical healthcare cost by the dental healthcare cost with a machine learning strategy. The 30,340 subjects who had continued registration of the area-basis public health insurance of Ebina city during April 2017 to September 2018 were analyzed. The sum of the healthcare cost was JPY 13,548,831,930. The per capita healthcare cost was JPY 446,567. The proportion of medical healthcare cost, medication cost, and dental healthcare cost was 78%, 15%, and 7%, respectively. By the results of the neural network model, the medical healthcare cost proportionally depended on the medical healthcare cost of the previous year. The dental healthcare cost of the previous year had a reducing effect on the medical healthcare cost. However, the effect was very small. Oral health may be a risk for chronic diseases. However, when evaluated by the healthcare cost, its effect was very small during the observation period. View Full-Text
Keywords: healthcare cost; medical healthcare cost; dental healthcare cost; zero-inflated model; neural network healthcare cost; medical healthcare cost; dental healthcare cost; zero-inflated model; neural network
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MDPI and ACS Style

Nomura, Y.; Ishii, Y.; Chiba, Y.; Suzuki, S.; Suzuki, A.; Suzuki, S.; Morita, K.; Tanabe, J.; Yamakawa, K.; Ishiwata, Y.; Ishikawa, M.; Sogabe, K.; Kakuta, E.; Okada, A.; Otsuka, R.; Hanada, N. Does Last Year’s Cost Predict the Present Cost? An Application of Machine Leaning for the Japanese Area-Basis Public Health Insurance Database. Int. J. Environ. Res. Public Health 2021, 18, 565. https://doi.org/10.3390/ijerph18020565

AMA Style

Nomura Y, Ishii Y, Chiba Y, Suzuki S, Suzuki A, Suzuki S, Morita K, Tanabe J, Yamakawa K, Ishiwata Y, Ishikawa M, Sogabe K, Kakuta E, Okada A, Otsuka R, Hanada N. Does Last Year’s Cost Predict the Present Cost? An Application of Machine Leaning for the Japanese Area-Basis Public Health Insurance Database. International Journal of Environmental Research and Public Health. 2021; 18(2):565. https://doi.org/10.3390/ijerph18020565

Chicago/Turabian Style

Nomura, Yoshiaki, Yoshimasa Ishii, Yota Chiba, Shunsuke Suzuki, Akira Suzuki, Senichi Suzuki, Kenji Morita, Joji Tanabe, Koji Yamakawa, Yasuo Ishiwata, Meu Ishikawa, Kaoru Sogabe, Erika Kakuta, Ayako Okada, Ryoko Otsuka, and Nobuhiro Hanada. 2021. "Does Last Year’s Cost Predict the Present Cost? An Application of Machine Leaning for the Japanese Area-Basis Public Health Insurance Database" International Journal of Environmental Research and Public Health 18, no. 2: 565. https://doi.org/10.3390/ijerph18020565

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