Data-driven algorithm yields notable improvements in HbA1c
The Massachusetts Institute of Technology in Cambridge, and colleagues presented a data-driven algorithm for personalized diabetes management that improves health-related outcomes. Based on electronic medical records from 1999 to 2014 for 10,806 patients with type 2 diabetes, outcomes were modeled under 13 pharmacological therapies. The range of outcomes under alternative care was analyzed for each patient visit using a k-nearest neighbor approach. Neighbors were selected to maximize similarity on individual patient characteristics and medical history. If the expected improvement from switching regimens exceeded a threshold, the recommendation algorithm prescribed the regimen with the best predicted outcome....