Hi all,
Me and a friend are going to do our MSc. thesis next semester. We are both studying computer science and want to explore the possibilities of developing some kind of decision support system to help diabetics with their everyday medical decisions. I have the disease myself and know that I, for one, certainly would love to have my computer or smartphone tell me how to adjust my bolus and basal rates to get better glucose values. Preferably without ever having to calculate and enter how much carbohydrates I eat.
The idea is that we, with the help of machine learning, for example would be able to infer how a typical breakfast/lunch/dinner scenario might look like and suggest therapeutic changes thereafter.Many diabetics (including myself) can adjust insulin dosage with good results without the tediousness of calculating carbohydrate intake. Knowledge gathered from previous experiences usually goes a long way. For example, if I notice that my glucose levels always tend to be way off after lunch for 5 days in a row I usually have some kind of intuition of how to adjust my insulin dosage to avoid the problem the next day, even though I never do any carbohydrate calculations. Our hope is that a computer could learn this "intuition" as well, and maybe better than us. Analysing months of glucose readings is easy for a computer and not so easy for a person.
To do this, of course, we need user data. So far I only have my own Freestyle Libre CGM reading + manually entered insulin dosages for maybe 3 months back. The most important question we have is: would you be willing to share any of your (anonymised) data, to help us with our MSc. thesis?
And while we're at it: it would be interesting to know what kind of glucose meters you use, whether you record your insulin dosage throughout the day and how/if you gather all your data somewhere (in cloud service etc.).
Feel free to answer here or send me a direct PM. Our work will start in the middle of January next year and we greatly appreciate any help we can get.
Edit: My initial explanation and motivation of the research we aim to do seems to have caused a bit of confusion. We are not going to develop a consumer product out of this. In fact, we are most probably not going to develop a product at all. However, what we will do might be useful in consumer products, should we be successful.
The thesis will be research oriented with the purpose to evaluate additional machine learning methods to the ones already being explored by others, and in this process we might very well need carbohydrate intake data as well. In fact, we don't limit ourselves to any amount of data features, quite the contrary; the more features the data contains, the better.
Me and a friend are going to do our MSc. thesis next semester. We are both studying computer science and want to explore the possibilities of developing some kind of decision support system to help diabetics with their everyday medical decisions. I have the disease myself and know that I, for one, certainly would love to have my computer or smartphone tell me how to adjust my bolus and basal rates to get better glucose values. Preferably without ever having to calculate and enter how much carbohydrates I eat.
The idea is that we, with the help of machine learning, for example would be able to infer how a typical breakfast/lunch/dinner scenario might look like and suggest therapeutic changes thereafter.
To do this, of course, we need user data. So far I only have my own Freestyle Libre CGM reading + manually entered insulin dosages for maybe 3 months back. The most important question we have is: would you be willing to share any of your (anonymised) data, to help us with our MSc. thesis?
And while we're at it: it would be interesting to know what kind of glucose meters you use, whether you record your insulin dosage throughout the day and how/if you gather all your data somewhere (in cloud service etc.).
Feel free to answer here or send me a direct PM. Our work will start in the middle of January next year and we greatly appreciate any help we can get.
Edit: My initial explanation and motivation of the research we aim to do seems to have caused a bit of confusion. We are not going to develop a consumer product out of this. In fact, we are most probably not going to develop a product at all. However, what we will do might be useful in consumer products, should we be successful.
The thesis will be research oriented with the purpose to evaluate additional machine learning methods to the ones already being explored by others, and in this process we might very well need carbohydrate intake data as well. In fact, we don't limit ourselves to any amount of data features, quite the contrary; the more features the data contains, the better.
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