A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan

This predictive model has potential to enhance the targeting process for health guidance in Japan, enabling more timely medical intervention. Its implementation could significantly contribute to the prevention of severe diabetes complications through earlier detection and treatment.

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Institutions

Publication Details

Journal
Journal of Diabetes Investigation
Published
2025-04-02
DOI
https://doi.org/10.1111/jdi.70035
Citations
2
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
2.71

Funders

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article

A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan

Shumpei Chiba, Takashi Itoga, Daisuke Yabe, Kazuo Asada
2 citations
Journal of Diabetes Investigation
Chronic Disease Management Strategies
2.71
article

A prediction model for diabetes complications using the Kokuho Database and its application to public health services in Japan

Shumpei Chiba, Takashi Itoga, Daisuke Yabe, Kazuo Asada
article en
2 citations

Abstract

This predictive model has potential to enhance the targeting process for health guidance in Japan, enabling more timely medical intervention. Its implementation could significantly contribute to the prevention of severe diabetes complications through earlier detection and treatment.

Journal of Diabetes InvestigationVol. 16(6)
Kyoto University (JP)
Boehringer Ingelheim Japan
Openalex Percentile: Top 11%
Chronic Disease Management Strategies
2.71
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