Re: Surveillance Epidemiology and End Results (SEER)

Hi Matt, Daniel,

It would be great if you were able to write a brief description of the data
set, list the terms that are used, and also provide some information as to
how the data is currently used.

Would it be realistic for either of you to get that done by Monday?

Cheers,

Susie



On 10/4/07, Daniel Rubin <rubin@med.stanford.edu> wrote:
>
> I might be able to help look as some of these data, depending on what
> specifically is expected for this task.
>
> Regards,
>
> Daniel
>
> ___
>
> Daniel Rubin, MD, MS
> Clinical Asst. Professor, Radiology
> Research Scientist, Stanford Medical Informatics
> Scientific Director, National Center of Biomedical Ontology
> MSOB X-215
> Stanford, CA 94305
> 650-725-5693
>
>
> At 09:16 AM 10/4/2007, Susie Stephens wrote:
>
> Assessing clinical data sets for incorporation into our work sounds like
> an excellent idea. I'll add that as an agenda item for Monday's BioRDF call
> as suggested by EricN.
>
> It would be wonderful is someone wants to volunteer to take a look at the
> cancer data set that Alan uncovered ( <http://seer.cancer.gov/data/>
> http://seer.cancer.gov/data/). If someone has the bandwidth by Monday then
> that would be great, but providing feedback the week after would also be
> excellent.
>
> Another data set that I think is interesting is the one being developed by
> the Alzheimers Disease NeuroImaging Initiative (http://www.loni.ucla.edu/ADNI/).
> This is an open data set that includes serial magnetic resonance imaging
> (MRI), positron emission tomography (PET), other biological markers, and
> clinical and neuropsychological assessment data. The goal of the data is to
> use it to learn about the progression of mild cognitive impairment and early
> Alzheimer's disease. I'm definitely going to be exploring this data further,
> but I'd be more than happy for other folks to take a look at it too.
>
> Cheers,
>
> Susie
>
>
>
>
>
>
>
> On 10/4/07, *Eric Neumann* <eneumann@teranode.com> wrote:
>
> Indeed this would be an interesting set to rdf-ize. It might also be
> interesting based on the dataset complexity (i.e., moderate complexity) to
> see what practical stratgey for RDF conversion one would choose.
>
> http://seer.cancer.gov/data/
>
> Perhaps a few folks could look at this data structure, consider some
> approaches ( e.g., RDF-Schema only vs. a minimal ontology), and discuss
> this on the next BioRDF call?
>
> Eric
>
>
>
> -----Original Message-----
> From: public-semweb-lifesci-request@w3.org on behalf of Alan Ruttenberg
> Sent: Wed 10/3/2007 1:07 AM
> To: public-semweb-lifesci hcls
> Subject: Surveillance Epidemiology and End Results (SEER)
>
>
> At a talk I attended today, this resource of patient cancer diagnoses
> was mentioned as an example of publicly available clinical data. A
> quick look over the documentation suggests it might be an interesting
> project to produce an RDF version of the data set.
>
> http://seer.cancer.gov/data/
>
> The SEER limited-use data* include SEER incidence and population data
> associated by age, sex, race, year of diagnosis, and geographic areas
> (including SEER registry and county)
>
> -Alan
>
>
>
>