Assessing racial bias in type 2 diabetes risk prediction algorithms.

• Principais autores: Héléne T Cronjé (Autor), Alexandros Katsiferis (Autor), Leonie K Elsenburg (Autor), Thea O Andersen (Autor), Naja H Rod (Autor), Tri-Long Nguyen (Autor), Tibor V Varga (Autor)
• Formato: Livro
• Publicado em: Public Library of Science (PLoS), 2023-01-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PR...