News

Home > News & Events > Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year

Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year

Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year
Date

November 2, 2017

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of its clinical data study on identifying and stratifying prediabetic patients at high risk for progressing to diabetes within one year.

 

This research has been completed at a period with no existing standards to identify prediabetic patients at risk of progressing to diabetes within a given timeframe, and offers care managers new opportunities to allocate diabetes prevention-focused resources and plan for care accordingly.

 

The study, based on a database of 645,000 prediabetics, found that by isolating less than 20% of the prediabetic population, EarlySign’s artificial intelligence (AI)-based algorithm platform successfully identified 64% of patients who became diabetic within 12 months. The algorithm utilizes more than 25 parameters derived from routine medical data stored in Electronic Health Records (EHR). It also ranks the 20% based on risk prioritization.

 

Read the full article here.