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/). 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 <[EMAIL PROTECTED]> 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: [EMAIL PROTECTED] 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



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