Addressing practical issues of predictive models translation into everyday practice and public health management: a combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions

Addressing practical issues of predictive models translation into everyday practice and public health management: a combined model to predict the risk of type 2 diabetes improves incidence prediction and reduces the prevalence of missing risk predictions

Introduction Many predictive models for incident type 2 diabetes (T2D) exist, but these models are not used frequently for public health management. Barriers to their application include (1) the problem of model choice (some models are applicable only to certain ethnic groups), (2) missing input var...

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Bibliographic Details
Main Authors: Enrico Longato, Barbara Di Camillo, Martina Vettoretti, Alessandro Zandonà, José Antonio Pagán, David Siscovick, Mercedes R Carnethon, Alain G Bertoni, Andrea Facchinetti
Format: Article
Language:English
Published: BMJ Publishing Group 2020-04-01
Series:BMJ Open Diabetes Research & Care
Online Access:https://drc.bmj.com/content/8/1/e001223.full

Internet

https://drc.bmj.com/content/8/1/e001223.full

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