Development and validation of resource-driven risk prediction models for incident chronic kidney disease in type 2 diabetes
Abstract Prediction models for population-based screening need, for global usage, to be resource-driven, involving predictors that are affordably resourced. Here, we report the development and validation of three resource-driven risk models to identify people with type 2 diabetes (T2DM) at risk of s...
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| Auteurs principaux: | , , , , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ed6372bb348e41e0939b2808d1e378b6 |
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