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.
Couldn't get it working for some reason. I tried feeding the model univariate data as well as multivariate with the trends (encoded). Might come back to this in the near future
abdshd
commented
5 days ago
Couldn't get it working for some reason. I tried feeding the model univariate data as well as multivariate with the trends (encoded). Might come back to this in the near future