This code was used for QA model development described in the paper titled "Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes".

The src folder contains 2 sub-folders: modeling and data_prep

• The modeling sub-folder contains codes for tokenizing QA samples, finetuning and testing the QA model
• The data_prep sub-folder contains codes for cleaning the notes, an example of note enrichment, an example of automated gold-standard answer extraction, an example of parsing rules, and an example of question-to-answer mapping.

The plot_data folder contains data tables used for the error plots in the paper.

The environment.yml file has all the necesary packages to create the Conda environment.