Development of a Type 2 Diabetes Prediction Model Using Specific Health Checkup Data and Extraction of Predictive Factors
A model based solely on non-invasive measurements moderately identified individuals at risk for T2DM in this community-based Japanese population. Routinely collected health checkup data may support early identification and targeted preventive strategies.
Authors
- Kenichiro Shimai
- Teppei Suzuki (ORCID: https://orcid.org/0000-0002-1030-2788)
- Katsuhiko Ogasawara (ORCID: https://orcid.org/0000-0001-5474-7861)
- Ryota Konno
- Ryuichiro Ueda
- Kazuki Ohashi
- Masami Mukai
Institutions
- Hokkaido University of Education (JP)
- Hokkaido University (JP)
- Muroran Institute of Technology (JP)
- National Cancer Center (US)
- Graduate School of Health Care Sciences, Jikei Institute (JP)
- National Cancer Research Institute (GB)
Publication Details
- Journal
- Bioengineering
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3390/bioengineering13020194
- Primary Topic
- Health Promotion and Cardiovascular Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00