Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals.
Mehrdad A MizaniAshkan DashtbanLaura PaseaQingjia ZengKamlesh KhuntiJonathan ValabhjiJil Billy MamzaHe GaoTamsin MorrisAmitava BanerjeePublished in: BMJ open diabetes research & care (2024)
In the largest study using ML to date in incident T2D, we identified four distinct subtypes, with potential future implications for etiology, therapeutics, and risk prediction.