lement a method to discover labs from the
>>>> text. The motivation is that you can get that easily from the structured
>>>> part of the EMR (what Pete explained below). Hope this makes sense!
>>>> --Guergana
>>>>
>>>>
t. The motivation is that you can get that easily from the structured
>>> part of the EMR (what Pete explained below). Hope this makes sense!
>>> --Guergana
>>>
>>> -Original Message-
>>> From: Peter Szolovits [mailto:p...@mit.edu]
>>> S
of
>> the EMR (what Pete explained below). Hope this makes sense!
>> --Guergana
>>
>> -Original Message-
>> From: Peter Szolovits [mailto:p...@mit.edu]
>> Sent: Monday, September 29, 2014 2:32 PM
>> To: dev@ctakes.apache.org
>> Subject: Re: De-
tember 29, 2014 2:32 PM
> To: dev@ctakes.apache.org
> Subject: Re: De-identified lab tests dataset
>
> Ajay, I'm confused by your query. cTakes is good at interpreting text, but
> most lab test results are reported in tabular form that is most appropriately
> searched by S
...@mit.edu]
Sent: Monday, September 29, 2014 2:32 PM
To: dev@ctakes.apache.org
Subject: Re: De-identified lab tests dataset
Ajay, I'm confused by your query. cTakes is good at interpreting text, but
most lab test results are reported in tabular form that is most appropriately
searched by SQL qu
Ajay, I'm confused by your query. cTakes is good at interpreting text, but
most lab test results are reported in tabular form that is most appropriately
searched by SQL queries. Sometimes lab results are also reported in narrative
notes, but parsing those is often more a matter of deciphering
