Detecting Medical Rule Sentences with Semi-Automatically Derived Patterns: A Pilot Study

We propose a semi-supervised method to extract rule sentences from medical abstracts. Medical rules are sentences that give interesting and non-trivial relationship between medical entities. Mining such medical rules is important since the rules thus extracted can be used as inputs to an expert system or in many more other ways. The technique we suggest is based on paraphrasing a set of seed sentences and populating a pattern dictionary of paraphrases of rules. We match the patterns against the new abstract and rank the sentences.

Read the paper:

Detecting Medical Rule Sentences with Semi-Automatically Derived Patterns: A Pilot Study

by Shreekanth Karvaje, Bharat Ravisekar, Baoli Li, Ernie Garcia, Ashwin Ram

International Symposium on Bioinformatics Research and Applications ( ISBRA-07), Atlanta, GA, May 2007
www.cc.gatech.edu/faculty/ashwin/papers/er-07-07.pdf
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