Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
379304 | Data & Knowledge Engineering | 2008 | 15 Pages |
Abstract
This paper introduces a system that processes clinical trials using a combination of natural language processing and database techniques. We process web-based clinical trial recruitment pages to extract semantic information reflecting eligibility criteria for potential participants. From this information we then formulate a query that can match criteria against medical data in patient records. The resulting system reflects a tight coupling of web-based information extraction, natural language processing, medical informatic approaches to clinical knowledge representation, and large-scale database technologies. We present an evaluation of the system and future directions for further system development.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
D.W. Lonsdale, C. Tustison, C.G. Parker, D.W. Embley,