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