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RobotPsychologist / bg_control

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.
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Jonathan Gong WAT.ai data analysis #11

Closed jogong2718 closed 1 week ago

jogong2718 commented 2 weeks ago

Super excited and inspired by the project goals. Even though I personally do not have a history with diabetes, I know family and friends who do and would love to contribute to the project vision.

RobotPsychologist commented 1 week ago

Hi Jonathan,

Thank you for your interest in the project and your submission. One issue, though, is that you deleted the eda_template.ipynb, so now others cannot use it. Could you please resolve this and send through another pull request?

Thank you,

Christopher