Opportunistic screening for diabetes enabled by machine learning?
The goal of this study is to better understand how Real World Evidence (RWE) data can be used to predict type II diabetes with machine learning in order to opportunistically screen patients during non-diabetes related medical check-ups.This guide:
- Provides step-by-step visual analysis of demographic and labs data from the National Health and Nutrition Examination Surveys.
- Demonstrates how the predictive power of the machine learning model is preserved despite removing the traditional predictors of diabetes.
- Highlights the potential of RWE and machine learning in opportunistic screening.