Harvard:Biophysics 101/Notebook:ZS/2007-4-12: Difference between revisions
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(New page: ==What I plan to do in the near future== We've established that there is a demand to classify rs#'s based on clinical importance - one way to go about doing this relatively painlessly is ...) |
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We've established that there is a demand to classify rs#'s based on clinical importance - one way to go about doing this relatively painlessly is to determine how many people are diagnosed with the disorder when given a disease name. With that in mind, I found a excel file from California which has disease names linked to the CDC naming convention, along with number diagnosed; if I can mine this file given a disease ID, or better yet just an rs#, then we have a basis by which to judge clinical importance. | We've established that there is a demand to classify rs#'s based on clinical importance - one way to go about doing this relatively painlessly is to determine how many people are diagnosed with the disorder when given a disease name. With that in mind, I found a excel file from California which has disease names linked to the CDC naming convention, along with number diagnosed; if I can mine this file given a disease ID, or better yet just an rs#, then we have a basis by which to judge clinical importance. | ||
''Note:'' I'm really sorry guys, but I won't be able to work on this until after the 16th - I have the MCAT on the morning of, but afterwards I'll get to it. Hopefully it won't be too complicated though. | |||
==Resources for disease frequency== | |||
*CDC Database of morbidity: http://www.cdc.gov/nchs/icd9.htm , in text files which can be parsed | |||
*Diagnosis Frequency data from state of California: http://www.oshpd.ca.gov/hqad/PatientLevel/ICD9_Codes/index.htm | |||
*CDC information for causes of death (in pdf) http://www.cdc.gov/nchs/fastats/lcod.htm | |||
--[[User:Zsun|Zsun]] | |||
Latest revision as of 17:28, 12 April 2007
What I plan to do in the near future
We've established that there is a demand to classify rs#'s based on clinical importance - one way to go about doing this relatively painlessly is to determine how many people are diagnosed with the disorder when given a disease name. With that in mind, I found a excel file from California which has disease names linked to the CDC naming convention, along with number diagnosed; if I can mine this file given a disease ID, or better yet just an rs#, then we have a basis by which to judge clinical importance.
Note: I'm really sorry guys, but I won't be able to work on this until after the 16th - I have the MCAT on the morning of, but afterwards I'll get to it. Hopefully it won't be too complicated though.
Resources for disease frequency
- CDC Database of morbidity: http://www.cdc.gov/nchs/icd9.htm , in text files which can be parsed
- Diagnosis Frequency data from state of California: http://www.oshpd.ca.gov/hqad/PatientLevel/ICD9_Codes/index.htm
- CDC information for causes of death (in pdf) http://www.cdc.gov/nchs/fastats/lcod.htm
--Zsun
