Machine learning-based models can predict diabetes incidence across several ethnicities

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Machine learning-based models can predict diabetes incidence across several ethnicities
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Predicting diabetes mellitus type 2 (T2D) incidence and prevalence across differing ethnicities.

By Pooja Toshniwal PahariaSep 27 2023Reviewed by Lily Ramsey, LLM In a recent study published in eClinicalMedicine, researchers developed questionnaire-based models for predicting diabetes mellitus type 2 incidence and prevalence across differing ethnicities.

About the study In the present study, researchers developed T2D incidence and prevalence prediction models based on questionnaires using United Kingdom Biobank data . They applied them to the Lifelines study data for use among white and non-white individuals. Further, a reclassification analysis was performed after comparing questionnaire-only prediction models to those that included biomarkers and physical and clinical T2D risk tools.

In addition, the researchers excluded all incident T2D patients with more than eight years until diagnosis and those individuals who did not acquire T2D but did not return to the assessment center after eight years. In the White UKBB sample, the algorithms correctly predicted T2D prevalence and incidence over eight years .

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