scholarly journals Using Tag-Neighbors for Query Expansion in Medical Information Retrieval

2011 ◽  
Author(s):  
F Durao ◽  
K Bayyapu ◽  
Guandong Xu ◽  
P Dolog ◽  
R Lage
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Medical Information ◽  
Medical Information Retrieval

scholarly journals Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain

2018 ◽  
Vol 14 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Aicha Ghoulam ◽  
Fatiha Barigou ◽  
Ghalem Belalem ◽  
Farid Meziane
Keyword(s):  
Information Retrieval ◽  
Information Needs ◽  
Query Expansion ◽  
Medical Information ◽  
Expansion Method ◽  
Relevant Information ◽  
Medical Texts ◽  
Named Entities ◽  
Medical Information Retrieval ◽  
Large Container

This article describes how many users' queries contain references to named entities, and this is particularly true in the medical field. Doctors express their information needs using medical entities as they are element rich with information that helps better target relevant documents. At the same time, many resources have been recognized as a large container of medical entities and relationships between them such as clinical reports; which are medical texts written by doctors. In this article, the authors present a query expansion method that uses medical entities and their semantic relations in the query context based on an external resource in OWL. The goal of this method is to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information. Experiments on a collection of real clinical reports show that their approach reveals interesting improvements in precision, recall and MAP in medical information retrieval.

WebMIRS: web-based medical information retrieval system

1997 ◽  
Author(s):  
L. Rodney Long ◽  
Stanley R. Pillemer ◽  
Reva C. Lawrence ◽  
Gin-Hua Goh ◽  
Leif Neve ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Web Based ◽  
Medical Information Retrieval

Novel Nature Inspired Techniques in Medical Information Retrieval

2011 ◽  
pp. 31-38
Author(s):  
Miroslav Bursa ◽  
Lenka Lhotská ◽  
Vaclav Chudacek ◽  
Michal Huptych ◽  
Jiri Spilka ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Medical Information ◽  
Medical Information Retrieval

Literature Review in Computational Linguistics Issues in the Developing Field of Consumer Informatics

2011 ◽  
pp. 226-232
Author(s):  
Ki Jung Lee
Keyword(s):  
Information Retrieval ◽  
Computational Linguistics ◽  
Information Structure ◽  
Information Needs ◽  
Retrieval System ◽  
Medical Information ◽  
Information Retrieval System ◽  
Search Results ◽  
Medical Information Retrieval ◽  
On Line

With the increased use of Internet, a large number of consumers first consult on line resources for their healthcare decisions. The problem of the existing information structure primarily lies in the fact that the vocabulary used in consumer queries is intrinsically different from the vocabulary represented in medical literature. Consequently, the medical information retrieval often provides poor search results. Since consumers make medical decisions based on the search results, building an effective information retrieval system becomes an essential issue. By reviewing the foundational concepts and application components of medical information retrieval, this paper will contribute to a body of research that seeks appropriate answers to a question like “How can we design a medical information retrieval system that can satisfy consumer’s information needs?”

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