A Concept Annotation System for Clinical Records

Details A Concept Annotation System for Clinical Records A Concept Annotation System for Clinical Records

2010-12-08

arxiv.org/abs/1012.1663v1

Computer Science

Information Retrieval

in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Wor

Scientific paper

Unstructured information comprises a valuable source of data in clinical records. For text mining in clinical records, concept extraction is the first step in finding assertions and relationships. This study presents a system developed for the annotation of medical concepts, including medical problems, tests, and treatments, mentioned in clinical records. The system combines six publicly available named entity recognition system into one framework, and uses a simple voting scheme that allows to tune precision and recall of the system to specific needs. The system provides both a web service interface and a UIMA interface which can be easily used by other systems. The system was tested in the fourth i2b2 challenge and achieved an F-score of 82.1% for the concept exact match task, a score which is among the top-ranking systems. To our knowledge, this is the first publicly available clinical record concept annotation system.

Affiliated with

Also associated with

No associations

Rating

A Concept Annotation System for Clinical Records does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Concept Annotation System for Clinical Records, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Concept Annotation System for Clinical Records will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-557670