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Combining Term-based and Concept-based Representation for Clinical Retrieval

Yue Wang, Hui Fang
2017 Text Retrieval Conference  
Different document representation methods, i.e., term based representation and concept based representation, have been proposed to solve this question.  ...  The results show that these two representations perform differently on the scientific abstract and clinical trail data sets.  ...  Existing studies solve the clinical related retrieval task in two directions based on how the documents and queries are represented, namely term based representation and concept based representation.  ... 
dblp:conf/trec/Wang017 fatcat:5yg77lfw3jaz3pruouvm4n3y7e

Exploring post retrieval techniques for bio-medical domain retrieval

Yue Wang, Hui Fang
2018 Text Retrieval Conference  
For this year, we used similar methods as we used in TREC PM17, i.e., term based representation and concept based representation.  ...  In addition, we also tried to combine the different representation with results filtering and two-round retrieval.  ...  Term base representation One intuitive method is to finish the retrieval task in term based representation with the different query fields merged as one combined query.  ... 
dblp:conf/trec/Wang018 fatcat:fxnuofjcpfeqfg6kx6tlyqq54m

A Task-Specific Query and Document Representation for Medical Records Search [chapter]

Nut Limsopatham, Craig Macdonald, Iadh Ounis
2013 Lecture Notes in Computer Science  
Moreover, when combining the relevance scores obtained from our technique and a term-based representation approach, the achieved performance is comparable to the best TREC 2011 systems.  ...  However, it has been shown that these techniques are effective only when combined with a traditional term-based representation approach.  ...  scores computed using our proposed taskspecific representation and the term-based representation.  ... 
doi:10.1007/978-3-642-36973-5_75 fatcat:7apb5jas2ndk7ibjaa2k6owcp4

A Concept-Centered Hypertext Approach to Case-Based Retrieval [article]

Stefano Marchesin
2018 arXiv   pre-print
For the retrieval of relevant medical literature, we investigate methods that are capable of comparing the documents' semantic networks in terms of structure and semantics.  ...  The goal of case-based retrieval is to assist physicians in the clinical decision making process, by finding relevant medical literature in large archives.  ...  For instance, in [18] queries and documents are transformed from their term-based originals into medical concepts as defined by the SNOMED CT ontology 2 .  ... 
arXiv:1811.11133v1 fatcat:jo6e2kgazfad5cpzs7vtq3bhbi

Towards knowledge-based retrieval of medical images. The role of semantic indexing, image content representation and knowledge-based retrieval

H J Lowe, I Antipov, W Hersh, C A Smith
1998 Proceedings. AMIA Symposium  
New representational and retrieval models for clinical images will be required to address this issue.  ...  The representation and retrieval of clinical images within these systems is problematic as conventional database architectures and information retrieval models have, until recently, focused largely on  ...  Antipov's and Dr. Hersh's work on the Image Engine project is supported by National Library of Medicine National Telemedicine Initiative Contract number NO1-LM-4-3507. Ms.  ... 
pmid:9929345 pmcid:PMC2232296 fatcat:6vftit4monawva4cit2c7g473a

Text- and Content-based Approaches to Image Modality Detection and Retrieval for the ImageCLEF 2010 Medical Retrieval Track

Matthew S. Simpson, Md. Mahmudur Rahman, Sachin Singhal, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2010 Conference and Labs of the Evaluation Forum  
Our text-based approaches utilize the Unified Medical Language System (UMLS) synonymy to identify concepts in information requests and image-related text in order to retrieve semantically relevant images  ...  Our image content-based approaches utilize similarity metrics based on computed "visual concepts" and lowlevel image features to identify visually similar images.  ...  Second, the type-based method first applies the term-based method for each type (problem, intervention, etc.) and then ANDs the result for each type group.  ... 
dblp:conf/clef/SimpsonRSDAT10 fatcat:oiwf64rd2fcifgp6jk4dd3wyl4

Concept based Information Retrieval for Clinical Case Summaries

Jakob Stöber, Bret S. E. Heale, Kelley Fulghum, Guilherme Del Fiol, Heejun Kim, Kalpana Raja, Siddhartha Jonnalagadda
2015 Text Retrieval Conference  
Further, we utilized a variety of filters such as PubMed's Clinical Query filters, which retrieve articles with high scientific quality, and UMLS semantic type filters for search terms.  ...  We examined if external search engine mediated conceptualization based on expert knowledge, concept representation of the abstract, and application of machine learning improve the process of clinical information  ...  Acknowledgements This study was supported by the following National Library of Medicine (NLM) grants: 1R01LM011416-01, 5R00LM011389 and T15LM007124.  ... 
dblp:conf/trec/StoberHFFKRJ15 fatcat:2juukwowqbdafm7pirxwvhpq3a

Knowledge Enhanced Representations to Reduce the Semantic Gap in Clinical Decision Support

Stefano Marchesin
2019 BCS-IRSG Symposium on Future Directions in Information Access  
The semantic gap between queries and documents is a longstanding problem in Information Retrieval (IR), and it poses a critical challenge for medical IR due to the large presence in the medical language  ...  models, based on the distributional hypothesis, which perform matching on latent representations of documents and queries.  ...  In [6] , document and query term-based representations are shifted into concept-based representations derived from SNOMED CT.  ... 
dblp:conf/fdia/Marchesin19 fatcat:5cj3rjszavd6pa3g6tklppenaq

Text and Content-based Approaches to Image Modality Classification and Retrieval for the ImageCLEF 2011 Medical Retrieval Track

Matthew S. Simpson, Md. Mahmudur Rahman, Srinivas Phadnis, Emilia Apostolova, Dina Demner-Fushman, Sameer K. Antani, George R. Thoma
2011 Conference and Labs of the Evaluation Forum  
metrics based on computed "visual concepts" and low-level image features.  ...  Our methods encompass a variety of techniques relating to text-and content-based image retrieval.  ...  Case-Based Retrieval Task Our method for performing case-based retrieval is analogous to our approach for ad-hoc image retrieval.  ... 
dblp:conf/clef/SimpsonRPADAT11 fatcat:rbkt5yjkijaofpbm2x6ihelale

LIMSI @ 2015 Clinical Decision Support Track

Eva D'hondt, Brigitte Grau, Pierre Zweigenbaum
2015 Text Retrieval Conference  
We investigated the relative merit of conceptversus word-based representations of the information contained in the case reports, and experimented with different approaches to model Clinical Question Types  ...  In both subtasks our best runs were MeSH-based, and they achieved a P@10 and infNDCG of 0.37 and 0.25, and 0.47 and 0.35, for subtask A and B respectively.  ...  For each recognized concept, we looked up the term variants in the UMLS. Initial retrieval step: The diagnosis synonyms and extracted CQT-related terms are combined to form an initial query.  ... 
dblp:conf/trec/DhondtGZ15 fatcat:ug5eyx4odzag3bxvu3bkltpb6a

A cross-lingual framework for monolingual biomedical information retrieval

Dolf Trieschnigg, Djoerd Hiemstra, Franciska de Jong, Wessel Kraaij
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Frequently, a concept-based representation defined in terms of a domain-specific terminological resource is employed to deal with this challenge.  ...  In this paper, we approach the incorporation of a concept-based representation in monolingual biomedical IR from a crosslingual perspective.  ...  Table 5 lists the retrieval effectiveness in terms of mean average precision when using the combined word and translated concept-based language models for retrieval.  ... 
doi:10.1145/1871437.1871463 dblp:conf/cikm/TrieschniggHJK10 fatcat:sfyjjbe32bbvtbjgqbsza6w67a

Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine

Robert Moskovitch, Yuval Shahar
2009 Journal of Biomedical Informatics  
We describe the Vaidurya ontological and algorithmic framework; we also briefly summarize the results of a detailed evaluation in the clinical-guideline domain, demonstrating that both concept-based and  ...  Two search methods were implemented in addition to full-text search: (1) concept-based search, which relies on pre-indexing the guidelines in a clinically meaningful fashion, and (2) context-sensitive  ...  Leibowitz for his contribution in designing and assessing several template-based query interfaces.  ... 
doi:10.1016/j.jbi.2008.07.003 pmid:18721900 fatcat:mpskzpizxnemtag3vepn4h3cx4

Learning Concept-Driven Document Embeddings for Medical Information Search [chapter]

Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf
2017 Lecture Notes in Computer Science  
In this paper, we study how to optimize the document representation by leveraging neural-based approaches to capture latent representations built upon both validated medical concepts specified in an external  ...  We experimentally show the effectiveness of our proposed model used as a support of two different medical search tasks, namely health search and clinical search for cohorts.  ...  effective than keyword-based retrieval, or a combination of both [24] .  ... 
doi:10.1007/978-3-319-59758-4_17 fatcat:fhy3juoknzdrvksofijllntj6m

Combining Word Semantics within Complex Hilbert Space for Information Retrieval [chapter]

Peter Wittek, Bevan Koopman, Guido Zuccon, Sándor Darányi
2014 Lecture Notes in Computer Science  
As a first attempt, we propose a complex-valued representation for IR, which explicitly uses complex valued Hilbert spaces, and thus where terms, documents and queries are represented as complex-valued  ...  An empirical instantiation of our proposal is tested in the TREC Medical Record task of retrieving cohorts for clinical studies.  ...  MAP and P@10 for term retrieval, concept retrieval, and our method (labeled "complex" retrieval).  ... 
doi:10.1007/978-3-662-45912-6_14 fatcat:4flbk6uvafat7pvw5gwtk5ryem

Combining Word Semantics within Complex Hilbert Space for Information Retrieval [chapter]

Peter Wittek, Bevan Koopman, Guido Zuccon, Sándor Darányi
2014 Lecture Notes in Computer Science  
As a first attempt, we propose a complex-valued representation for IR, which explicitly uses complex valued Hilbert spaces, and thus where terms, documents and queries are represented as complex-valued  ...  An empirical instantiation of our proposal is tested in the TREC Medical Record task of retrieving cohorts for clinical studies.  ...  MAP and P@10 for term retrieval, concept retrieval, and our method (labeled "complex" retrieval).  ... 
doi:10.1007/978-3-642-54943-4_14 fatcat:reiisbhvf5gpnaeda7gjexkxde
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