Algorithm for managing diabetes 90% accurate at risk prediction

Where people reside can affect the overall profile of their social determinants of health (SDH).

New research shows machine learning can tease out which particular location-specific—or “area-level”—SDHs warrant close monitoring in patients who have diabetes and are at risk of losing control over it.

The study presenting the findings is running in the August edition of the American Public Health Association’s Medical Care.

The study team, led by Sanjay Basu, MD, PhD, of Stanford and Harvard, analyzed claims data on more than 1 million patients with type 2 diabetes mellitus.