Hi Peter, Thanks for wonderful. Can you tell me how to get this database.
On Mon, Sep 1, 2014 at 10:32 PM, Peter Szolovits <[email protected]> wrote: > A single CUI may have many different preferred names in different > vocabularies. If you have a mysql version of UMLS installed, you can do > something like > CREATE VIEW pname AS > select cui, lat, ts, lui, stt, sui, ispref, aui, saui, scui, sdui, sab, > tty, code, str, srl, suppress, cvf > from `mrconso` > where (ts = 'P') > and (stt = 'PF') > and (ispref = 'Y') > and (lat = 'ENG')) > > to define the preferred terms for each CUI. I.e., this gives a subset of > MRCONSO containing only the preferred name of each concept. As you can see > from the table below, some vocabularies provide many more of these than > others. Then, to find that preferred term for a concept, you can just do > something like: > mysql> select str from pname where cui='C1141949'; > +----------------------+ > | STR | > +----------------------+ > | Troponin I increased | > +----------------------+ > 1 row in set (0.00 sec) > > but > > mysql> select distinct str from mrconso where cui='C1141949'; > +---------------------------------+ > | str | > +---------------------------------+ > | Troponin I zvýšený | > | troponine I verhoogd | > | Troponin I increased | > | Troponine I augmentée | > | Troponin I erhoeht | > | Troponin I emelkedett | > | Troponina I aumentata | > | トロポニンI増加 | > | トロポニンIゾウカ | > | Troponina I aumentada | > +---------------------------------+ > 10 rows in set (0.00 sec) > > In this case, the source of ambiguity is only from different languages, > but it could also be from the same CUI appearing in different SABs > (vocabularies) with different names. > > mysql> select sab, count(*) c from pname group by sab order by c desc > limit 40; > +---------------+--------+ > | SAB | c | > +---------------+--------+ > | NCBI | 788995 | > | MSH | 308591 | > | MEDCIN | 253291 | > | SNOMEDCT | 228656 | > | RXNORM | 220148 | > | ICD10PCS | 178093 | > | MTH | 157083 | > | LNC | 131930 | > | ICD10CM | 81082 | > | FMA | 72645 | > | GO | 57326 | > | OMIM | 46058 | > | NCI | 40962 | > | RCD | 34638 | > | MDR | 24144 | > | ICPC2ICD10ENG | 23618 | > | MMX | 22387 | > | CPT | 20064 | > | MMSL | 19419 | > | UMD | 15386 | > | NDDF | 14635 | > | VANDF | 12483 | > | SNMI | 11222 | > | NIC | 10487 | > | MTHSPL | 9978 | > | NDFRT | 9764 | > | ICD10AM | 9098 | > | CCPSS | 8226 | > | MTHFDA | 6545 | > | ICD9CM | 6521 | > | AOD | 6513 | > | RCDSY | 6275 | > | HCPCS | 5200 | > | HL7V3.0 | 5097 | > | PDQ | 4941 | > | MDDB | 4938 | > | MTHICD9 | 4721 | > | CSP | 3793 | > | GS | 3770 | > | NOC | 3645 | > +---------------+--------+ > 40 rows in set (5.31 sec) > > On Sep 1, 2014, at 4:37 PM, Prakash Poudyal <[email protected]> > wrote: > > > Hi Chen, > > > > Thanks for mail. I may be wrong, > > > > dizziness (normalized form) = C0002940 (CUI value) > > > > I am searching a system in which if I enter C002940 than dizziness could > > come. Or is there any index, or dictionary for it. > > > > If you don't understand please write me again. > > > > Thanks > > > > Regards > > Prakash > > > > > > On Mon, Sep 1, 2014 at 9:13 PM, Chen, Pei < > [email protected]> > > wrote: > > > >> Hi Prakash, > >> Could you clarify what you mean by 'normalized form'? An example? > >> > >> -Pei > >> > >> Sent from my iPhone > >> > >>> On Sep 1, 2014, at 9:16 AM, "Prakash Poudyal" < > [email protected]> > >> wrote: > >>> > >>> Hi! > >>> > >>> I am working in cTAKES to analysis clinical document. Is it possible > for > >> me > >>> to know how the CUI code is provided to the normalized form. > >>> > >>> Is there any dictionary or webportal that could map SONMED CT UMLS CUI > >>> code with normalized form. > >>> > >>> -- > >>> > >>> Regards > >>> Prakash Poudyal > >> > > > > > > > > -- > > > > Regards > > Prakash Poudyal > > -- Regards Prakash Poudyal
