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2016

Improving patient record search: A meta-data based approach

3 years 3 months ago
Improving patient record search: A meta-data based approach
The International Classification of Diseases (ICD) is a type of meta-data found in many Electronic Patient Records. Research to explore the utility of these codes in medical Information Retrieval (IR) applications is new, and many areas of investigation remain, including the question of how reliable the assignment of the codes has been. This paper proposes two uses of the ICD codes in two different contexts of search: Pseudo Relevance Judgments (PRJ) and Pseudo Relevance Feedback (PRF). We find that our approach to evaluate the TREC challenge runs using simulated relevance judgments has a positive correlation with the TREC official results, and our proposed technique for performing PRF based on the ICD codes significantly outperforms a traditional PRF approach. The results are found to be consistent over the two years of queries from the TREC Medical test collection.
Iman Amini, David Martínez 0001, Xiaodong L
Added 05 Apr 2016
Updated 05 Apr 2016
Type Journal
Year 2016
Where IPM
Authors Iman Amini, David Martínez 0001, Xiaodong Li, Mark Sanderson
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