Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases

Darmoni, Stéfan Jacques; Soualmia, Lina Fatima; Letord, Catherine; Jaulent, Marie-Christine; Griffon, Nicolas; Thirion, Benoît; Névéol, Aurélie

doi:10.3163/1536-5050.100.3.007

Cited by 35 publications

(20 citation statements)

References 6 publications

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“…The studies show that users perform searches with higher recall and precision if they make use of IRS search functions [35][36][37] . As such, it is important to make users aware about different help facilities offered by IRS.…”

Section: Help Facilitiesmentioning

confidence: 99%

A step towards designing a Model Academic Search Interface

Shafiq¹

2018

DJLIT

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and subsequently determine their relative location, with a view to recommend ideal location of these features based on their utility and users' ease of mind. Data is harvested by assessing the search interfaces of seven academic databases subscribed by University of Kashmir. The select databases are individually assessed to harvest the required information. The study divulges that uniformity is observed by databases while positioning features like access points, and search box(s). However, no consistent approach is found while positioning other identified features. It is imperative to say that the study is first of its kind where an emphasis is laid on assessing the positioning of search interface features. The study can prove helpful for academic database designers while designing user-friendly academic databases.Keywords : Information retrieval; Information retrieval systems; Search interface; Search features; Browsing;Alerting service InTroDucTIonInformation Communication Technology (ICT) has revolutionised the world by producing and disseminating an endless amount of valuable and important information for every activity identified so far 1 . To find the relevant information in such a huge mass of information, an efficient and reliable information retrieval (IR) is necessary. IR is an iterative interactive process between users and a search system 2-5 . It is designed with a view that right information should be made available to the right user at the right time. Thus, the main objective of an information retrieval system (IRS) is to collect and organize information in order to provide it to users whenever they are in need of it 6 . During the early stages of IR, there was much role of an information professional than the users themselves. The professionals used to establish the information needs of users which were later satisfied using their expertise. Even though there is still some focus on intermediate searching, the present day web-based IR systems are designed in such a way where users can search themselves to fulfill their information needs

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Section: Help Facilitiesmentioning

confidence: 99%

A step towards designing a Model Academic Search Interface

Shafiq¹

2018

DJLIT

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“…Kayaalp et al 2003;Díaz-Galiano et al 2009;Pestana 2009;Jalali and Borujerdi 2011;Yeganova et al 2011;Darmoni et al 2012) and word sense disambiguation (e.g. Kayaalp et al 2003;Díaz-Galiano et al 2009;Pestana 2009;Jalali and Borujerdi 2011;Yeganova et al 2011;Darmoni et al 2012) and word sense disambiguation (e.g.…”

Section: Pubmedmentioning

confidence: 99%

Text Genres and Registers: The Computation of Linguistic Features

Fang

Cao

2015

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“…To study the dynamics of medical innovations, Leydesdorff et al [13] analyzes a bibliometric perspective based on MeSH hierarchy and MEDLINE database at various levels of aggregation. Darmoni et al [14] utilize the MeSH concepts for improving information retrieval on rare and chronic diseases. On the PubMed search engine, MeSH terms are used for providing enhanced search.…”

Section: Related Workmentioning

confidence: 99%

Suggesting biomedical topics for unseen research articles based on MeSH descriptors

Lim

Jeong

Choi

2015

2015 International Conference on Big Data and Smart Computing (BIGCOMP)

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Due to the huge number of research articles in the biomedical domain, it becomes more and more important to develop methods to find relevant articles of our specific research interests. Keyword extraction is a useful method to find important topics from documents and summarize their major information. Unfortunately, it is hard to select appropriate keywords extracted by traditional method of keyword extraction from specific research fields such as biomedical domain. Although human experts can support to understand details of the keywords, extra time should be required to read contents of the documents. In this paper, we propose a method for suggesting keyword-based topics for unseen biomedical research articles from PubMed. Our method uses MeSH descriptors to summarize each document by obtaining frequencies of them. The list of frequencies is used to make keyword suggestions for given documents based on the MeSH. In the experiments, we evaluate the performance of the method by measuring the accuracy of keyword suggestions for a given set of unseen documents.

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Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases

Cited by 35 publications

References 6 publications

A step towards designing a Model Academic Search Interface

A step towards designing a Model Academic Search Interface

Text Genres and Registers: The Computation of Linguistic Features

Suggesting biomedical topics for unseen research articles based on MeSH descriptors

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