A neural network trained with CUDA classified male participants' HbA1c control from finger joint mobility and anthropometrics with 86.7% test accuracy in a 61-person sample.
Our neural network was unable to successful ly classify the female subset of participants
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CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
A neural network trained with CUDA classified male participants' HbA1c control from finger joint mobility and anthropometrics with 86.7% test accuracy in a 61-person sample.