Cohort shepherd: Discovering cohort traits from hospital visits
|Cohort shepherd: Discovering cohort traits from hospital visits|
|Author(s)||Goodwin T., Rink B., Roberts K., Harabagiu S.M.|
|Published in||NIST Special Publication|
|Keyword(s)||Unknown (Extra: Co-occurrence, Hospital visits, Hybrid approach, Medical record, Regular expressions, Scoring methods, University of Texas, Wikipedia, Pattern matching, Websites, Information retrieval)|
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|Browse properties · List of conference papers|
Cohort shepherd: Discovering cohort traits from hospital visits is a 2011 conference paper written in English by Goodwin T., Rink B., Roberts K., Harabagiu S.M. and published in NIST Special Publication.
This paper describes the system created by the University of Texas at Dallas for content- based medical record retrieval submitted to the TREC 2011 Medical Records Track. Our system builds a query by extracting keywords from a given topic using a Wikipedia-based approach we use regular expressions to ex- tract age, gender, and negation requirements. Each query is then expanded by relying on UMLS, SNOMED, Wikipedia, and PubMed Co-occurrence data for retrieval. Four runs were submitted: two based on Lucene with varying scoring methods, and two based on a hybrid approach with varying negation detec- tion techniques. Our highest scoring submis- sion achieved a MAP score of 40.8.
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