Hi all,
My first post, please be nice to me :/
It is my daughter, who will start secondary school later this year, who had diabetes (3 years since diagnosis). Like many I imagine I am finding it frustrating getting good control. Being a technophile I am kind of surprised there do not appear to be many system that analyse your sugar input, exercise, etc. and tell you what insulin levels you need. I come from a background in real-time software in the automotive industry. There we used novel process control techniques to improve how smooth engines run at tick-over. I'm guessing that that would not work well in a system which is more chaotic, like diabetes control. That said I wonder if statistical techniques could be used. Unfortunately the side of mathematics I disliked the most was statistics. I am also guessing that generating statistical information based on a single patient may not give you enough information to predict required insulin levels, but I don't actually know.
Obviously I appreciate that this is not a trivial problem to solve. If it was it would have been solved by now.
We have made some improvement in our understanding of my daughters diabetes by logging as much information as possible and creating a daily spreadsheet. This make us look back at what happened in the day and see if we can understand what is going on.
I am now looking a creating a logging system to store the information digitally in the hope that I can later create system to allow that data to be analysed.
- I would be interested in anyone who has used any logging software they actually liked (I have tired a few but, perhaps because I write software, I have not found one I like).
- Does anyone know of research on statistical techniques to assist individuals in setting insulin levels. Even research that looks at what people with good control are doing against people with bad control.
All the best dd
Bah - some sofware engineer I am. I can't even get the bullet lists to work
My first post, please be nice to me :/
It is my daughter, who will start secondary school later this year, who had diabetes (3 years since diagnosis). Like many I imagine I am finding it frustrating getting good control. Being a technophile I am kind of surprised there do not appear to be many system that analyse your sugar input, exercise, etc. and tell you what insulin levels you need. I come from a background in real-time software in the automotive industry. There we used novel process control techniques to improve how smooth engines run at tick-over. I'm guessing that that would not work well in a system which is more chaotic, like diabetes control. That said I wonder if statistical techniques could be used. Unfortunately the side of mathematics I disliked the most was statistics. I am also guessing that generating statistical information based on a single patient may not give you enough information to predict required insulin levels, but I don't actually know.
Obviously I appreciate that this is not a trivial problem to solve. If it was it would have been solved by now.
We have made some improvement in our understanding of my daughters diabetes by logging as much information as possible and creating a daily spreadsheet. This make us look back at what happened in the day and see if we can understand what is going on.
I am now looking a creating a logging system to store the information digitally in the hope that I can later create system to allow that data to be analysed.
- I would be interested in anyone who has used any logging software they actually liked (I have tired a few but, perhaps because I write software, I have not found one I like).
- Does anyone know of research on statistical techniques to assist individuals in setting insulin levels. Even research that looks at what people with good control are doing against people with bad control.
All the best dd
Bah - some sofware engineer I am. I can't even get the bullet lists to work
