✦ LIBER ✦

Query expansion using UMLS Tools for health information retrieval

✍ Scribed by Kun Lu; Xiangming Mu

Publisher: Wiley (John Wiley & Sons)
Year: 2009
Tongue: English
Weight: 202 KB
Volume: 46
Category: Article
ISSN: 0044-7870
DOI: 10.1002/meet.2009.1450460212

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Four new automatic query expansion strategies based on UMLS Metathesaurus are proposed to improve the effectiveness of health information retrieval: String index with Concept expansion (SC), String index with Term expansion (ST), Word index with Concept expansion (WC), and Word index with Term expansion (WT). Results from a comparison evaluation study using Medline plus dataset indicated that 1) the Mean Average Precisions (MAPs) with term‐level expansion are higher than those with concept level by 5.6% for 30 queries and 10.9% for short queries; 2) the MAPs based on the string index strategy are better than those based on the word index by 15.5% for 30 queries and 9.6% for short queries; and 3) the String index with Term expansion (ST) has the highest MAPs for both 30 queries and short queries. These results will help us better understand the effectiveness of different automatic query expansion strategies using UMLS Metathesaurus and further inform the design of future Healthcare IR system.

📜 SIMILAR VOLUMES

Data cleansing for Web information retri

Data cleansing for Web information retrieval using query independent features

✍ Yiqun Liu; Min Zhang; Rongwei Cen; Liyun Ru; Shaoping Ma 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 614 KB

## Abstract Understanding what kinds of Web pages are the most useful for Web search engine users is a critical task in Web information retrieval (IR). Most previous works used hyperlink analysis algorithms to solve this problem. However, little research has been focused on query‐independent Web da

An examination of natural language as a

An examination of natural language as a query formation tool for retrieving information on e-health from Pub Med

✍ Gabriel M. Peterson; Kuichun Su; James E. Ries; Mary Ellen C. Sievert 📂 Article 📅 2005 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 464 KB

## Abstract The Internet has become the first tool of choice for performing information searches. The concepts of e‐health and related topics have become areas of interest for professional researchers and lay users alike, and increasingly, users turn to the Internet for information about health and

QoRank: A query-dependent ranking model

QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval

✍ Heli Sun; Jianbin Huang; Boqin Feng 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 536 KB

Ranking is a core problem for information retrieval since the performance of the search system is directly impacted by the accuracy of ranking results. Ranking model construction has been the focus of both the fields of information retrieval and machine learning, and learning to rank in particular h