AI Article Synopsis
- Many prediction models exist to identify individuals at high risk of type 2 diabetes.
- However, the actual usage of these models in real-world settings is limited.
- This review highlights the gap between the development of these models and their practical implementation in healthcare.
Article Abstract
Although a prediction model is expected to identify individuals who are at a high risk of type 2 diabetes, the implementation status of prediction models has not been well examined. Our review indicates that the implementation of predictive models in practice remains low despite the increase in models being developed.
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| http://dx.doi.org/10.1016/j.pcd.2023.09.002 | DOI Listing |
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