Natural language processing of clinical trial announcements: exploratory-study of building an automated screening application

AMIA Annu Symp Proc. 2008 Nov 6:1142.

Abstract

Clinical trials are important for the advancement of medical research. Despite of the benefits clinical trial enrollment is low. We study the feasibility of using NLP to assist with automatic eligibility screening by extracting medical diagnoses from the inclusion and exclusion criteria of cancer clinical trial announcements posted on the internet. We compare the performances of the system versus an oncologist.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Artificial Intelligence
  • Clinical Trials as Topic / classification*
  • Clinical Trials as Topic / methods
  • Humans
  • Information Storage and Retrieval / methods
  • Medical Records Systems, Computerized / statistics & numerical data*
  • Natural Language Processing*
  • Neoplasms / diagnosis*
  • Neoplasms / therapy*
  • Patient Selection*
  • Pattern Recognition, Automated / methods*
  • Washington