Hi, just to say that James had mailed me two nice data sets. Many thanks, I
am trying them out...




On Mon, Sep 26, 2011 at 11:46 PM, Suranga Kasthurirathne <
[email protected]> wrote:

> 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
>
>


-- 
Best Regards,

Suranga

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