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.
Authors
- Shumpei Chiba
- Takashi Itoga
- Daisuke Yabe (ORCID: https://orcid.org/0000-0002-5334-7687)
- Kazuo Asada
Institutions
- Kyoto University (JP)
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
- Boehringer Ingelheim Japan