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Exploring the use of concept spaces to improve medical information retrieval

Andrea L. Houston, Hsinchun Chen, Bruce R. Schatz, Susan M. Hubbard, Robin R. Sewell, Tobun D. Ng
2000 Decision Support Systems  
This research investigated the application of techniques successfully used in previous information retrieval research, to the more challenging area of medical informatics.  ...  System UMLS Metathesaurus, was explored with the ultimate goal of improving CANCERLIT information search and retrieval.  ...  We are investigating improving medical information retrieval by building on techniques successfully Ž applied to other information retrieval domains e.g.  ... 
doi:10.1016/s0167-9236(00)00097-x fatcat:qq2tgwjvnrbxdfy2k34vt7hx2u

UB at ImageCLEFmed 2006 [chapter]

Miguel E. Ruiz
2007 Lecture Notes in Computer Science  
Most of our effort was invested in processing the collection using Metamap to assign Unified Medical Language System (UMLS) concepts to each of the images that included some associated text.  ...  The parameters for retrieval feedback and for the linear combination of the generalized vector space model were tuned using queries for the 2008 CLEF medical image retrieval task (imageCLEFmed).  ...  Salton and his collaborators at Cornell University, is an information retrieval system that uses the vector space model to represent queries and documents and perform retrieval using a variety of weighting  ... 
doi:10.1007/978-3-540-74999-8_87 fatcat:tnmctq5dcbhktegzd2bdmsjvo4

An adaptive evidence weighting method for medical record search

Dongqing Zhu, Ben Carterette
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
Furthermore, we explore several informative features for learning our retrieval model.  ...  the same department) of a patient.  ...  [6] explored using the type of medical records for enhancing retrieval performance.  ... 
doi:10.1145/2484028.2484175 dblp:conf/sigir/ZhuC13 fatcat:pcd5rdvf7fab7dxij5yvnn5iqu

Population-Based Incremental Interactive Concept Learning for Image Retrieval by Stochastic String Segmentations

S. Ghebreab, C.C. Jaffe, A.W.M. Smeulders
2004 IEEE Transactions on Medical Imaging  
The user determines the speed and direction of concept customization using a single parameter that defines the degree of exploration and exploitation of the search space.  ...  The premise is that such a concept is closely related to a user's specific preferences and subjectivity and, thus, allows to deal with the complexity and content-dependency of medical image content.  ...  ACKNOWLEDGMENT The authors are thankful to the Lister Hill National Center for Biomedical Communications, NLM/NIH for providing NHANES II images from the National Center for Health Statistics.  ... 
doi:10.1109/tmi.2004.826942 pmid:15191142 fatcat:b5ykfyxgyzdkziaqqgyc7ny7ni

UB at CLEF 2005: Bilingual CLIR and Medical Image Retrieval Tasks [chapter]

Miguel E. Ruiz, Silvia B. Southwick
2006 Lecture Notes in Computer Science  
For the retrieval of medical images with multilingual annotations our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval to retrieve medical images that  ...  Translation of English topics to French was performed by mapping the English text to UMLS concepts using MetaMap and the UMLS Metathesaurus.  ...  Acknowledgement We want to thank the National Library of Medicine for allowing us to use the UMLS and MetaMap programs for this research.  ... 
doi:10.1007/11878773_81 fatcat:pdztj32usjhjvoq5nvzy37yqzy

GANNET: A Machine Learning Approach to Document Retrieval

Hsinchun Chen, Jinwoo Kim
1994 Journal of Management Information Systems  
In the past few decades, probabilistic retrieval techniques have been used to improve the retrieval performance of information retrieval systems [6, 49].  ...  If fitness improved in a given cycle, GANNET incre- mented p,, for the next cycle in an attempt to explore the search space fully and to avoid a local minimum.  ... 
doi:10.1080/07421222.1994.11518048 fatcat:cjqkqr6d4rggpem7ckgxzwzw44

A query expansion framework in image retrieval domain based on local and global analysis

M.M. Rahman, S.K. Antani, G.R. Thoma
2011 Information Processing & Management  
We present an image retrieval framework based on automatic query expansion in a concept feature space by generalizing the vector space model of information retrieval.  ...  In this framework, images are represented by vectors of weighted concepts similar to the keyword-based representation used in text retrieval.  ...  The authors would like to thank the CLEF organizers 3 for making the databases available for the experiments.  ... 
doi:10.1016/j.ipm.2010.12.001 pmid:21822350 pmcid:PMC3150552 fatcat:ow4wnbo7bfcvbd43svf7lh36c4

Page 63 of Library & Information Science Abstracts Vol. , Issue 8 [page]

1995 Library & Information Science Abstracts  
Proposes the use of methods from the mathematical theory of concept analysis to analyze and interactively explore the information space defined by wide area resource discovery services.  ...  In order to enhance the concept exploration capability of knowledge based systems and to alleviate the limitation of the manual approach, develops 2 spreading activation based ithms for concept exploration  ... 

Exploring electronic medical record (EMR) using an information retrieval perspective IEEE ICOCI 2006

Nasriah Zakaria
2006 2006 International Conference on Computing & Informatics  
This paper attempts to explore the application of electronic medical record (EMR) from information retrieval perspectives?  ...  The paper discussed indexing challenges in EMR, information extraction and the possible use of XML to structure medical record on the web.  ...  Then they used multiple vector space models to rank the retrieved medical reports.  ... 
doi:10.1109/icoci.2006.5276425 fatcat:s6l2vggxcndwjcnzetmsjyn4sy

Evaluating multimodal relevance feedback techniques for medical image retrieval

Dimitrios Markonis, Roger Schaer, Henning Müller
2015 Information retrieval (Boston)  
Results using the ImageCLEF 2012 benchmark database for medical image retrieval show the potential of relevance feedback techniques in medical image retrieval.  ...  Most improvements occur in the first two steps of relevance feedback and then results start to become relatively flat.  ...  Acknowledgements This work was supported by the EU 7th Framework Program in the context of the Khresmoi project (grant 257528).  ... 
doi:10.1007/s10791-015-9260-4 fatcat:fbp7rtqpt5euvpptl4q2xyqihq

Biomedical image representation and classification using an entropy weighted probabilistic concept feature space

Md Mahmudur Rahman, Sameer K. Antani, Dinna Demner-Fushman, George R. Thoma, Maria Y. Law, Tessa S. Cook
2014 Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations  
Furthermore, importance of concepts is measured as Shannon entropy based on pixel values of image patches and used to refine the feature vector to overcome the limitation of the "TF-IDF"based weighting  ...  A systematic evaluation of image classification on two biomedical image data sets demonstrates improvement of more than 10% for the proposed feature representation approach compared to the commonly used  ...  We would like to thank the CLEF 3 organizers for making the database available for the experiments.  ... 
doi:10.1117/12.2043911 fatcat:mz4iznlqp5drjivrevs7u4am44

Semantic annotation for concept-based cross-language medical information retrieval

Martin Volk, Bärbel Ripplinger, Špela Vintar, Paul Buitelaar, Diana Raileanu, Bogdan Sacaleanu
2002 International Journal of Medical Informatics  
We present a framework for concept-based cross-language information retrieval in the medical domain, which is under development in the MUCHMORE project.  ...  On the other hand they show that semantic information, specifically the combined use of concepts and relations, increases the performance in monolingual and cross-language retrieval. 1 Bärbel Ripplinger  ...  Similar to the TnT tagger, the performance of Chunkie will improve by adaptation to the medical domain.  ... 
doi:10.1016/s1386-5056(02)00058-8 pmid:12460635 fatcat:matcl4ufunaczooia2wzuh2ieu

Interfaces for understanding: Improving access to consumer health information

Laura Slaughter
2011 Advances in Classification Research Online  
145 This research will examine how health care consumers use a prototype interface that supports understanding and defining information problems through visual exploration of the medical domain (relationships  ...  among medical concepts and functional relationships in the human body).  ...  Interfaces for understanding: Improving access to consumer health information.  ... 
doi:10.7152/acro.v11i1.12778 fatcat:edgpfv6zirc5jpmi3ny2a2n2ly

A Comparison of Local Analysis, Global Analysis and Ontology-based Query Expansion Strategies for Bio-medical Literature Search

Xuheng Xu, Weizhong Zhu, Xiaodan Zhang, Xiaohua Hu, Il-Yeol Song
2006 2006 IEEE International Conference on Systems, Man and Cybernetics  
In this paper we present the design and evaluation of our biomedical literature searching approaches using the TREC 2004 ad hoc retrieval task in the Genomics track.  ...  We believe the principles of the term re-weighting strategy and LSI-based local analysis may be extended and utilized in other bio-medical domains.  ...  In this research work, three query expansion strategies integrated with the UMLS (Unified Medical Language System) are explored to improve the effectiveness of the queries.  ... 
doi:10.1109/icsmc.2006.384651 dblp:conf/smc/XuZZHS06 fatcat:ddxzbcd2ovd5tkyy5yzo7ft2fm

Improving health records search using multiple query expansion collections

Donqqing Zhu, Ben Carterette
2012 2012 IEEE International Conference on Bioinformatics and Biomedicine  
The increasing prevalence of electronic health records (EHR), along with the needs for enhanced clinical care, presents new challenges to information retrieval (IR).  ...  Many clinical decision-making tasks following the philosophy of Evidence-Based Medicine (EBM) rely on the ability to find relevant health records and gather sufficient clinical evidence under severe time  ...  Thus, they suggested seeking beyond the use of medical ontologies to enhance medical information retrieval.  ... 
doi:10.1109/bibm.2012.6392667 dblp:conf/bibm/ZhuC12 fatcat:c6db4plkczbqzbux34ko4vyrnq
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