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Computational Linguistics Research at Simmons College

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Week 20 – Katie

sittig • March 18, 2016

I've worked on temporal ordering (particularly with smoking), but since creating visual timelines is a pretty reliable way of determining discrepancies by looking at them, I've spent the last couple of weeks looking into how best to approach solid data …

Posted in Clinical Narratives. Tags: CREU, katie on March 18, 2016 by sittig.

Week 18 & 19 – Rebecca

haralson • March 6, 2016

This past week, I created more CSVs for mentions of CAD, hypertension, hyperlipidemia, and obesity. These CSVs are based on whether or not each condition is mentioned at all, so there are only two possible options (mentioned or not mentioned). …

Posted in Clinical Narratives. Tags: CREU, rebecca on March 6, 2016 by haralson.

Weeks 18 & 19 – Katie

sittig • March 5, 2016

Over the last couple of weeks, I extended a little bit of what I was working on (ordering temporal annotations with regard to other treatments). Although initially I used tuples (time, description) to track changes in medication/smoking, I recently switched …

Posted in Clinical Narratives. Tags: CREU, katie on March 5, 2016 by sittig.

Stephanie Worobey – week 19

worobey • February 29, 2016

This week I will finish the functions in R that I began to code this week to check for patients with smoking discrepancies, I will also begin to write a function to check for total numbers of discrepancies. Lastly I …

Posted in Clinical Narratives, Uncategorized. Tags: CREU on February 29, 2016 by worobey.

Stephanie – week 18

worobey • February 22, 2016

Last week I began to brainstorm on ways to attack the problem of smoking status. This week I will be meeting with an outside professor to get some advice on how to go about doing this. I will also be …

Posted in Clinical Narratives, Uncategorized. Tags: CREU on February 22, 2016 by worobey.

Week 17 – Katie

sittig • February 22, 2016

Although the code I wrote over the last few weeks was primarily in script format, I put some time in over the weekend to create Python classes in order to analyze medication history more effectively. Building off of my previous …

Posted in Clinical Narratives. Tags: CREU on February 22, 2016 by sittig.

CREU Week 16 & 17 – Rebecca

haralson • February 21, 2016

During week 15, I worked on extracting diabetes mentions from each medical record and writing them to a CSV file. I formatted the file based on what will work best for Stephanie when she goes on to analyze the CSV …

Posted in Uncategorized on February 21, 2016 by haralson.

Weeks 15 & 16 – Katie

sittig • February 19, 2016

Last week, Simmons closed the school due to snow on Monday, so we didn't meet; instead, I worked on extracting medication data from tags. I've been using linked lists to keep track of which medications are mentioned when.

This week, …

Posted in Clinical Narratives. Tags: CREU, katie on February 19, 2016 by sittig.

Stephanie: week 17

worobey • February 19, 2016

This week I will begin to work on the problem of finding discrepancies of smoking statuses. In our weekly meeting we discussed some of the challenges that will come with this - primarily that smoking status can change in a …

Posted in Clinical Narratives, Uncategorized. Tags: CREU on February 19, 2016 by worobey.

Stephanie: week 15 & 16

worobey • February 19, 2016

These weeks were spent writing code in R in order to look for discrepancies pertaining to the diabetes status of the patients in our corpus. I met a few bumps in the road but was able to collaborate with an …

Posted in Clinical Narratives, Uncategorized. Tags: CREU on February 19, 2016 by worobey.

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  • Stephanie Worobey – week 25 to the end May 2, 2016
  • Stephanie Worobey – week 24 May 2, 2016
  • Stephanie Worobey – week 23 May 2, 2016
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