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Natural Language Entity Extraction

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.

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You can read the notes for the theoretical background required for this project: link

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