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Type 1: Would you be willing to share your diabetic data for research?
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<blockquote data-quote="tim2000s" data-source="post: 1325199" data-attributes="member: 30007"><p>It's an interesting point of view. The alternative hypothesis to this approach is that if they had counted the carbs, instead of waiting five days with high glycaemic variability and higher than necessary blood glucose levels, it would, instead, have taken a day to improve? I guess the question for me is how do you quantify "good results"?</p><p></p><p>As a user of a hybrid closed loop system that can and does automatically adjust insulin amounts based on real time data, and having a decent understanding of the algorithms involved, and the drivers for making decisions around this, I'm not sure how, without knowing some fairly crucial pieces of information, a machine learning algorithm is going to provide a reasonable adjustment dose?</p></blockquote><p></p>
[QUOTE="tim2000s, post: 1325199, member: 30007"] It's an interesting point of view. The alternative hypothesis to this approach is that if they had counted the carbs, instead of waiting five days with high glycaemic variability and higher than necessary blood glucose levels, it would, instead, have taken a day to improve? I guess the question for me is how do you quantify "good results"? As a user of a hybrid closed loop system that can and does automatically adjust insulin amounts based on real time data, and having a decent understanding of the algorithms involved, and the drivers for making decisions around this, I'm not sure how, without knowing some fairly crucial pieces of information, a machine learning algorithm is going to provide a reasonable adjustment dose? [/QUOTE]
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Type 1: Would you be willing to share your diabetic data for research?
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