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.
Summarize the questions for the FAQ with chatGPT.
Have a human answer the questions.
@Cristianofiliped @walkerpayne @RobotPsychologist @abdshd @aryavkin @safiyamak
To the T1Ds, I've answered most of the questions already. If you don't mind taking a look, proofreading my work, suggesting improvements, etc.:
https://github.com/RobotPsychologist/bg_control/wiki/Frequently-Asked-Questions