Login / Signup

Automated information extraction from free-text medical documents for stroke key performance indicators: a pilot study.

Stephen BacchiSam GluckSimon KoblarJim JannesTimothy Kleinig
Published in: Internal medicine journal (2022)
Automated information extraction might be able to assist with the collection of stroke key performance indicators (KPI). The feasibility of using natural language processing for classification-based KPI and datetime field extraction was assessed. Using free-text discharge summaries, random forest models achieved high levels of performance in classification tasks (area under the receiver operator curve 0.95-1.00). The datetime field extraction method was successful in 29 of 43 (67.4%) cases. Further studies are indicated.
Keyphrases
  • deep learning
  • machine learning
  • atrial fibrillation
  • healthcare
  • high throughput
  • smoking cessation
  • climate change
  • health information
  • working memory
  • brain injury
  • single cell
  • blood brain barrier
  • case control