From: | Karsten Hilbert <Karsten(dot)Hilbert(at)gmx(dot)net> |
---|---|
To: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !" |
Date: | 2016-05-29 19:04:47 |
Message-ID: | 20160529190447.GK22316@hermes.hilbert.loc |
Views: | Raw Message | Whole Thread | Download mbox | Resend email |
Thread: | |
Lists: | pgsql-general |
>> I submitted slides to pgcon site, but it usually takes awhile, so you can
>> download our presentation directly
>> http://www.sai.msu.su/~megera/postgres/talks/pgcon-2016-fts.pdf
Looking at slide 39 (attached) I get the impression that I
should be able to do the following:
- turn a coding system (say, ICD-10) into a dictionary
by splitting the terms into single words
say, "diabetes mellitus -> "diabetes", "mellitus"
- define stop words like "left", "right", ...
say, "fracture left ulna" -> the "left" doesn't
matter as far as coding is concerned
- also turn that coding system into queries by splitting
the terms into single words, concatenating them
with "&", and setting the ICD 10 code as tag on them
say, "diabetes mellitus" -> "diabetes & mellitus [E11]"
- run an inverse FTS (FQS) against a user supplied string
thereby finding queries (= tags = ICD10 codes) likely
relevant to the input
say, to_tsvector("patient was suspected to suffer from diabetes mellitus")
-> tag = E11
Possible, not possible, insane, unintended use ?
Thanks,
Karsten
--
GPG key ID E4071346 @ eu.pool.sks-keyservers.net
E167 67FD A291 2BEA 73BD 4537 78B9 A9F9 E407 1346
Attachment | Content-Type | Size |
---|---|---|
pgcon-2016-fts-Seite-39.pdf | application/pdf | 31.0 KB |
From | Date | Subject | |
---|---|---|---|
Next Message | Attila Soki | 2016-05-29 20:10:04 | plugin dev, oid to pointer map |
Previous Message | Martín Marqués | 2016-05-29 18:20:21 | Re: BDR to ignore table exists error |