Extracting Ground Truth Labels from Radiology Reports
In this project you'll learn to extract information from unstructured medical text. In particular, you'll learn about the following topics:
- Extracting disease labels from clinical reports
- Text matching
- Evaluating a labeler
- Negation detection
- Dependency parsing
- Question Answering with BERT
- Preprocessing text for input
- Extracting answers from model output
This work is inspired by the work done by Irvin et al.
You can read the notes for the theoretical background required for this project: link