Evidence-based medicine (EBM) requires medical practitioners to select appropriate treatments for individual patients based
on the current best evidence, and the results of phase III clinical trials are the major source of such evidence. In this
paper, we report results of experiment in extracting important information for EBM from the abstracts of phase III clinical
trials, in an effort to investigate how far the existing natural language processing (NLP) techniques could support EBM using
MEDLINE database.
Keywords Evidence-Based Medicine - Phase III Clinical Trial MEDLINE Abstracts - Natural Language Processing - Information Extraction