Natural language processing of clinical trial announcements: exploratory-study of building an automated screening application.
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.
Solti
Imre
I
University of Washington, Seattle, WA, USA.
Gennari
John H
JH
Payne
Thomas
T
Payne
Tom
T
Solti
Magdolna
M
Tarczy-Hornoch
Peter
P
D000465:Algorithms; D001185:Artificial Intelligence; D002986:Clinical Trials as Topic / Q000145:classification* / Q000379:methods; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D009369:Neoplasms / Q000175:diagnosis* / Q000628:therapy*; D018579:Patient Selection; D010363:Pattern Recognition, Automated / Q000379:methods*; D014861:Washington