In article <[EMAIL PROTECTED]>,
Jeff Goslin <[EMAIL PROTECTED]> wrote:
>[EMAIL PROTECTED] wrote:
>> In most situations I can imagine, this (interpolating historical data to
>> find "new" training exemplars) is not a good idea. The presumed "new"
>> exemplars are very synthetic and reflect the interpolation procedure as
>> much as they do the data. I would think that (unless you have a very
>> good reason for doing otherwise), your model (neural network or any
>> other empirical model) would better reflect reality by using only the
>> actual historical exemplars.
>Yes, I have recognized this to be a problem, but, it is less of a problem than
>the other problems I have at the moment. Currently, there are very few machines
>that are capable of being attached to a human being and have their blood sugars
>read and stored at the intervals I would require. Most of them are in
>development and have not been released to the public. The data from these
>machines is very well guarded by the developers of those machines, presumably
>for trade secret reasons. As such, I cannot simply ask someone for their minute
>by minute data and have them give it to me. The second problem is one of
>money. I'm sure if I threw money at the companies, they'd give me some data to
>work with, but I don't have any money. I'm doing this purely for personal use
>at the moment.
However, there are published studies, many obtained the
hard way by frequent finger testing, and in many cases by
continuous IV sampling of both glucose and insulin. This
newsgroup is not the place to ask for it; consult some
research endocrinologists for examples of data. I do not
know if you can get minute by minute data, but there are
devices now used for physicians to get frequent (I believe
5 minute intervals) readings over a 3-day period. It is
not quite that good, as there is, I believe, daily
calibration. You should be able to get a few such samples.
I should also warn you that, since diabetics are being
medicated, these medications do not have a totally smooth
effect. Even for non-diabetics, and I suggest you also
look at records for such, it is not all that smooth. It
would not even surprise me if there are books of typical
blood glucose curves for various types of people.
Looking at examples which have already been collected
should give you a better idea of what the problem is.
Knowing something about what can and cannot be done, I
suggest you bring in a good mathematical statistician who
does not just use simple models early in your research.
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
[EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================
