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Type 1: Would you be willing to share your diabetic data for research?
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<blockquote data-quote="simonjrp" data-source="post: 1325213" data-attributes="member: 355635"><p>You're right. For a super accurate system that basically could automate the process of insulin injections, knowing how many carbs you eat is a must. But it might be possible to develop a system that at least detects the problematic sections in your daily CGM plots and classifies them correctly for you without any knowledge of carbohydrate intake. The suggestions for insulin adjustments that such a system could make would probably just work as "indicators" rather than "do exactly this without thinking yourself first". For people that does not count carbs, it could still be an improvement.</p><p></p><p>The intention with my description of a decision support system that could help diabetics with their insulin dosage was mainly to explain possible uses for our research, without going into details. We are not going to develop a fully working consumer product. In fact, we're not even going to build a product, but rather investigate alternative methods to the ones that have already been evaluated.</p><p></p><p>For example, there is a paper <a href="https://etd.ohiolink.edu/!etd.send_file?accession=ohiou1382664092&disposition=inline" target="_blank">https://etd.ohiolink.edu/!etd.send_file?accession=ohiou1382664092&disposition=inline</a> that, among other things, tries a few different machine learning methods to accurately detect excessive glycemic variability. One of our objectives is to try doing the same, but with other algorithms to see if we can get better performance and new valuable insights.</p></blockquote><p></p>
[QUOTE="simonjrp, post: 1325213, member: 355635"] You're right. For a super accurate system that basically could automate the process of insulin injections, knowing how many carbs you eat is a must. But it might be possible to develop a system that at least detects the problematic sections in your daily CGM plots and classifies them correctly for you without any knowledge of carbohydrate intake. The suggestions for insulin adjustments that such a system could make would probably just work as "indicators" rather than "do exactly this without thinking yourself first". For people that does not count carbs, it could still be an improvement. The intention with my description of a decision support system that could help diabetics with their insulin dosage was mainly to explain possible uses for our research, without going into details. We are not going to develop a fully working consumer product. In fact, we're not even going to build a product, but rather investigate alternative methods to the ones that have already been evaluated. For example, there is a paper [URL]https://etd.ohiolink.edu/!etd.send_file?accession=ohiou1382664092&disposition=inline[/URL] that, among other things, tries a few different machine learning methods to accurately detect excessive glycemic variability. One of our objectives is to try doing the same, but with other algorithms to see if we can get better performance and new valuable insights. [/QUOTE]
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Type 1: Would you be willing to share your diabetic data for research?
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