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richardchaven
science forum beginner

Joined: 09 Jul 2006
Posts: 1

Posted: Sun Jul 09, 2006 4:24 pm    Post subject: starting question: analysing the interations of historical data for prediction

I am writing an application to allow users to record their blood
glucose levels, insulin injections (type and amount), meals, and
exercise. Once they enter a few weeks worth, I want to programatically
find the relationship between these numbers so I can predict how much
insulin they should take in order to end up with a desirable blood
level (e.g. 100 mg.dl) at any point in time.

I see about eight variables interacting with each other.

I took basic (business) staticstics in college, but have little
mathamatics experience other than that.

1. What is the thing I'm doing called ?

2. Where do I find out more about it ?

3. Is this likely to be something I have to learn and build, or doI
find/buy/impliment a standard library and push numbers into it ?

Thanks for the help.
Peter Spellucci
science forum Guru

Joined: 29 Apr 2005
Posts: 702

Posted: Mon Jul 10, 2006 4:27 pm    Post subject: Re: starting question: analysing the interations of historical data for prediction

 Quote: I am writing an application to allow users to record their blood glucose levels, insulin injections (type and amount), meals, and exercise. Once they enter a few weeks worth, I want to programatically find the relationship between these numbers so I can predict how much insulin they should take in order to end up with a desirable blood level (e.g. 100 mg.dl) at any point in time. I see about eight variables interacting with each other. I took basic (business) staticstics in college, but have little mathamatics experience other than that. 1. What is the thing I'm doing called ? 2. Where do I find out more about it ? 3. Is this likely to be something I have to learn and build, or doI find/buy/impliment a standard library and push numbers into it ? Thanks for the help.

time series analysis.
for example "Quantitative Forecasting Methods by Farnum & Stanton"

don't reenvent the wheel:

for example:

P. PALUMBO, W.H. ONG-CLAUSEN, S. PANUNZI and A. DE GAETANO
Linear periodic models of subcutaneous insulin absorption:
mathematical analysis

Journal: HERMIS- An International Journal of
Computer Mathematics and its Applications
ISSN: 1108-7609
Volume: 7 - Special Issue
Date: June 2006

hth
peter

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