Causal deep learning reveals the comparative effectiveness of antihyperglycemic treatments in poorly controlled diabetes

Abstract

Current treatment guidelines for Type-2 diabetes endorse a massive number of potential anti-hyper-glycemic treatment options in various permutations and combinations. Here, the authors present a causal deep learning approach for more personalized recommendations of treatment selection.