Improving short-term prandial blood glucose outcomes for people with type 1 diabetes, a complex disease that affects nearly 10 million people worldwide. We aim to leverage semi-supervised learning to identify unlabelled meals in time-series blood glucose data, develop meal-scoring functions, and explore causal machine-learning techniques.
Thanks for your interest in our project. I like the visualizations that you have created here! Unfortunately, it looks like you deleted the template file. Could you please redo this so that you don't delete that file? We need others to be able to use it.
My apologies, I have not worked much with github yet. I've tried to restore the template as you said, hope that works. And thanks for the complement :)
Hi Sanidhya,
Thanks for your interest in our project. I like the visualizations that you have created here! Unfortunately, it looks like you deleted the template file. Could you please redo this so that you don't delete that file? We need others to be able to use it.
Thanks,
Christopher