Hi James / everyone,

Thanks for the reply, I've been going through the wiki pages (which means
that you can expect more questions in the future :-) )

May I ask if anyone has a nice set of test data that they use to try out
this module. It's quite easy to write up some mock data, as I've been doing,
but I guess that a well planned set of test data might do wonders...



On Mon, Sep 26, 2011 at 8:06 PM, James Egg <[email protected]> wrote:

> Hi,****
>
> ** **
>
> I can try to answer your questions about the matching output, though I’m
> not sure why the groups file in the first example is just the one line.  The
> second example seems reasonable, though.  The higher score for the pair 3,1
> is more likely a match than 3,2.  The algorithm compares the fields marked
> as “include,” as in “include this column in scoring.”  In the second case,
> the fields used for both pairs agreed on “jim,” but one pair has “A”
> compared with “A” while the other pair had “A” compared with “B.”  The
> upward rating of 2 agreeing fields pushed the score of the pairs 3,1 above
> the pair that had just one agreement and one disagreement.****
>
> ** **
>
> Have you looked at the wiki page for the module?  It is at
> https://wiki.openmrs.org/display/docs/Patient+Matching+Module****
>
> ** **
>
> There is information about the Swing GUI and some explanation of terms.
> Between the OpenMRS module and the Swing GUI, the term “must match” means it
> is a blocking column, and “should match” is included in scoring.****
>
> ** **
>
> James****
>
> ** **
>
> *From:* [email protected] [mailto:[email protected]] *On
> Behalf Of *Suranga Kasthurirathne
> *Sent:* Monday, September 26, 2011 4:52 AM
> *To:* [email protected]
> *Subject:* [OPENMRS-IMPLEMENTERS] Newbie questions on patient Matching
> module****
>
> ** **
>
>
> ****
>
> Hi all,****
>
> ** **
>
> I've been looking at the patient matching module standalone, and trying to
> understand the matching concept.****
>
> ** **
>
> Assuming I have table A as follows,****
>
> 0|1|2|3 (Column IDs)****
>
> ---------****
>
> 1|max|m|A****
>
> 2|jack|m|A****
>
> 3|jim|m|A****
>
> ** **
>
> and table B-****
>
> 0|1|2|3 (Column IDs)****
>
> ---------****
>
> 1|jim|m|A****
>
> 2|jim|m|B****
>
> ** **
>
> If I block on Column 1, and include column 2, then I would expect it to
> identify that the third record in table A is similar to records 1 and 2 of
> table B.****
>
> After running the linkage process, I get the following results,****
>
> ** **
>
> the _groups.txt file says  0|0.0|3|2|jim|jim|m|m|A|B****
>
> ** **
>
> while the _new_match file says****
>
> ** **
>
> 0.0|3|1|jim|jim|m|m|A|A****
>
> 0.0|3|2|jim|jim|m|m|A|B    (i'm assuming that the double (0.0) in both
> cols mean that both these records match evenly ?)****
>
> ** **
>
>    - any idea why the _groups.txt file fails to identify the relationship
>    between 3|1 ?****
>
> ** **
>
> Instead if I were to run the same test blocking on Column 1, and including
> columns 2 and 3,****
>
> I would expect it to identify that the third record in table A is similar
> to the first record of table B.****
>
> ** **
>
> the _groups.txt file says 0|3.1699250014423126|3|1|jim|jim|m|m|A|A****
>
> ** **
>
> while the _new_match file says****
>
> ** **
>
> 3.1699250014423126|3|1|jim|jim|m|m|A|A****
>
> -3.1699250014423126|3|2|jim|jim|m|m|A|B****
>
> ** **
>
>    - Can someone please help explain the data values given here
>    ? I'm assuming that this means that the first record (3|1) has a high 
> chance
>    of matching  while the second record (3|2) has really low chance of doing 
> so
>    ?****
>
> ** **
>
> ** **
>
> --
> Best Regards,****
>
> ** **
>
> Suranga****
>
> ** **
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>
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-- 
Best Regards,

Suranga

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