This past Wednesday, Stephanie, Rebecca, and I were able to present our work during the Simmons Undergraduate Research poster session! It was a lot of fun. Simmons has a strong focus on health and life sciences, so our work was …

The Simmons Undergraduate Research Conference is approaching, so we've been finalizing some of the results from the discrepancy searches; I've been working with Stephanie and Rebecca to make a poster so that we can present the work this coming Wednesday. …

This past week, I've been dealing with a strange Python issue that arose during a different project -- I still haven't resolved the problem (which is related to my path! consternation), but I've been working on some markups for the …

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 …

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 …

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, …

Over winter break, I spent a few days reading through the articles published last year detailing the outcomes of the various tracks of the 2014 i2b2 challenge, which is where the data we're currently investigating came from in the first …

The code I was working on is going well, but not complete yet; testing my own code has shown a few inconsistencies, which I've addressed as necessary.

This past week, on Dec. 8, we presented an overview of our project …

In the past couple of weeks, I've attempted to combine all of the Python classes I've written in order to extract data from XML files, store them in Patient objects, and assess discrepancies in the clinical narratives.

My part of …