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Semantically Enhanced Medical Information Retrieval System: A Tensor Factorization Based Approach

Haolin Wang, Qingpeng Zhang, Jiahu Yuan
2017 IEEE Access  
semantic enrichment methods for medical information retrieval tasks.  ...  Integrating the medical knowledge bases has the potential to improve the information retrieval performance through incorporating medical domain knowledge for relevance assessment.  ...  KNOWLEDGE-BASED MEDICAL INFORMATION RETRIEVAL Medical information retrieval aims to discover the scientific evidences to support decision making with medical domain knowledge.  ... 
doi:10.1109/access.2017.2698142 fatcat:gprekq6lfzfbbf7hrlo2gkela4

MIRACLE at ImageCLEFmed 2008: Semantic vs. Statistical Strategies for Topic Expansion [chapter]

Sara Lana-Serrano, Julio Villena-Román, José Carlos González-Cristóbal
2009 Lecture Notes in Computer Science  
Then this baseline algorithm was combined with different semantic expansion techniques. Documents were tagged based on the MeSH concept hierarchy using UMLS entities as basic root elements.  ...  and indexing and retrieval.  ...  -67407-C03-03 and by Madrid R+D Regional Plan, by means of the project MAVIR (Enhancing the Access and the Visibility of Networked Multilingual Information for the Community of Madrid), S-0505/TIC/000267  ... 
doi:10.1007/978-3-642-04447-2_91 fatcat:2ekrffsasvhb3ixnsrftvo7cam

Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

Bo Sun, Fei Zhang, Jing Li, Yicheng Yang, Xiaolin Diao, Wei Zhao, Ting Shu
2021 BMC Medical Informatics and Decision Making  
Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval.  ...  Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR  ...  Medical information models are used to improve semantic interoperability [12, 13] .  ... 
doi:10.1186/s12911-021-01554-2 pmid:34174874 fatcat:sqij2jmm4rcnzjd4n2ktl53voi

Exploiting Inference from Semantic Annotations for Information Retrieval

Guido Zuccon, Bevan Koopman, Peter Bruza
2014 Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval - ESAIR '14  
Medical information retrieval is a fertile ground for testing inference mechanisms to augment retrieval.  ...  In this position paper, we reflect on the need to incorporate semantic inference into retrieval (in particular for medical information retrieval) as well as previous attempts that have been made so far  ...  The authors would like to acknowledge Reviewer 1 for the insightful commentary and pointers.  ... 
doi:10.1145/2663712.2666197 dblp:conf/cikm/ZucconKB14 fatcat:idkfcomzxfbivha6w33qztmjf4

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.  ...  to retrieve relevant cases from medical literature.  ...  Thus, both graph-based and latent-based models will be investigated for the analysis of documents' semantic networks.  ... 
arXiv:1811.11133v1 fatcat:jo6e2kgazfad5cpzs7vtq3bhbi

An approach to semantic query expansion system based on Hepatitis ontology

Chen Yunzhi, Lu Huijuan, Linda Shapiro, Ravensara S. Travillian, Li Lanjuan
2016 Journal of Biological Research - Thessaloniki  
This paper, focusing on constructing and querying a hepatitis ontology, aims to provide a framework for ontology-based medical services.  ...  Conclusions: The paper has adopted semantic similarity computing to improve retrieval performance.  ...  Ontology semantic retrieval process As mentioned above, the intelligent semantic retrieval system can solve many problems of traditional information retrieval, retrieve the relevant information that users  ... 
doi:10.1186/s40709-016-0044-9 pmid:27437196 pmcid:PMC4943513 fatcat:luiqb2emlfeuhhm5tfjzekm5hu

Framing Electronic Medical Records as Polylingual Documents in Query Expansion

Edward W Huang, Sheng Wang, Doris Jung-Lin Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
2018 AMIA Annual Symposium Proceedings  
However, due to semantic, functional, and treatment synonyms in medical terminology, queries are often incomplete and thus require enhancement.  ...  Given a query consisting of a new patient's symptoms, the retrieval system returns the set of most relevant records of previously treated patients.  ...  Acknowledgments This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1144245.  ... 
pmid:29854161 pmcid:PMC5977599 fatcat:jokey77pyvathh33ymicz2c3xa

Knowledge-based query expansion to support scenario-specific retrieval of medical free text

Zhenyu Liu, Wesley W. Chu
2007 Information retrieval (Boston)  
Keywords Medical information retrieval . Scenario-specific information retrieval . Knowledge-based information retrieval . Query expansion . Knowledge-based systems  ...  In retrieving medical free text, users are often interested in answers pertinent to certain scenarios that correspond to common tasks performed in medical practice, e.g., treatment or diagnosis of a disease  ...  Brian Haynes from the Health Information Research Unit (HIRU) at McMaster University for sharing their valuable dataset for our experimental verification of the effectiveness of the knowledge-based expansion  ... 
doi:10.1007/s10791-006-9020-6 fatcat:pngvmbno7fblxg5u2um624tria

On the Combined Use of Extrinsic Semantic Resources for Medical Information Search

Mohammed Maree, Israa Noor, Khaled Rabayah, Mohammed Belkhatir, Saadat M. Alhashmi
2020 IEEE Access  
The exploitation of these resources for tackling the semantic gap issue has been widely studied in the literature.  ...  In this context, many of the users query terms are either unrecognized by the used ontologies, or cause retrieving false positives that degrade the quality of current medical information search approaches  ...  ACKNOWLEDGMENT The authors would like to thank ELRA for offering the CLEFeHealth 2014 Task  ... 
doi:10.1109/access.2020.2987568 fatcat:llqcr3bzzvelxj2inivo4kkpia

Knowledge-based query expansion to support scenario-specific retrieval of medical free text

Zhenyu Liu, Wesley W. Chu
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
Keywords Medical information retrieval . Scenario-specific information retrieval . Knowledge-based information retrieval . Query expansion . Knowledge-based systems  ...  In retrieving medical free text, users are often interested in answers pertinent to certain scenarios that correspond to common tasks performed in medical practice, e.g., treatment or diagnosis of a disease  ...  Brian Haynes from the Health Information Research Unit (HIRU) at McMaster University for sharing their valuable dataset for our experimental verification of the effectiveness of the knowledge-based expansion  ... 
doi:10.1145/1066677.1066922 dblp:conf/sac/LiuC05 fatcat:6d4qe2g4vfazto7x7enquucdjq

Simple but Effective Knowledge-Based Query Reformulations for Precision Medicine Retrieval

Stefano Marchesin, Giorgio Maria Di Nunzio, Maristella Agosti
2021 Information  
In this regard, we propose several simple but effective knowledge-based query expansion and reduction techniques, and we evaluate them for the medical domain.  ...  In Information Retrieval (IR), the semantic gap represents the mismatch between users' queries and how retrieval models answer to these queries.  ...  tools for accessing and retrieving medical information.  ... 
doi:10.3390/info12100402 fatcat:b2tiwkuyf5hzrfkst2oesitn74

Enhancing Biomedical Text Summarization Using Semantic Relation Extraction

Yue Shang, Yanpeng Li, Hongfei Lin, Zhihao Yang, Ying Xu
2011 PLoS ONE  
document collection to generate text summary using an information retrieval based method.  ...  the relations most relevant to each query concept and visualize them in a graphic representation. 3) For relations in the relevant set, we extract informative sentences that can interpret them from the  ...  Conclusion In this paper, we present a system for biomedical text summarization based on the techniques of semantic relation extraction and information retrieval.  ... 
doi:10.1371/journal.pone.0023862 pmid:21887336 pmcid:PMC3162578 fatcat:v5mjmiw6nzaddhvkyqdbojcfwq

IMS: An improved medical retrieval model via medical-context aware query expansion and comprehensive ranking

Nurfadhlina Mohd Sharef, Hizmawati Madzin
2012 2012 International Conference on Information Retrieval & Knowledge Management  
The main contribution of the paper is the semantic-based retrieval technique by utilizing context-aware query expansion and search ranking method.  ...  This paper addresses the following problems: (i) semantic-based query expansion technique which increase the content awareness ability, (ii) MeSHmanipulated indexer which entails medical terminologies  ...  INTRODUCTION The enormous volume of clinical data motivated by the evolution of storage and networking technologies has created challenges for the information retrieval (IR) discipline (Alba C 2010 ,  ... 
doi:10.1109/infrkm.2012.6205004 dblp:conf/infrkm/SharefM12 fatcat:5fa2pl5s55hi3bjma7ifu4viza

Wordnet and Ontology Based Query Expansion for Semantic Information Retrieval in Sports Domain

M. Uma Devi, G. Meera Gandhi
2015 Journal of Computer Science  
A query expansion algorithm for Semantic Information Retrieval in Sports Domain (SIRSD) is proposed to do Semantic Search to improve search over large document repositories.  ...  To increase the number of relevant documents retrieved, queries need to be disambiguated by looking at their context.  ...  Acknowledgement We thank our management for timely support and help for the research. The authors would like to thank Mr C. Babu Rajan who helped in correcting the grammatical errors.  ... 
doi:10.3844/jcssp.2015.361.371 fatcat:6t2k4n374jdi3pu7zaky55tk2y

Using Medical Test Collection Relevance Judgements to Identify Ontological Relationships Useful for Query Expansion

D. Wollersheim, W.J. Rahayu
2005 21st International Conference on Data Engineering Workshops (ICDEW'05)  
We analyse the results, discovering the characteristics of high relevance medical query expansions.  ...  The method consists of identifying UMLS (Unified Medical Language System) concepts in the Ohsumed corpus queries and documents, and then applying a variety of query expansion algorithms to the query concepts  ...  We propose using this network of relationships in an opportunistic fashion, to enhance information retrieval, based on techniques drawn from the field of query expansion.  ... 
doi:10.1109/icde.2005.300 dblp:conf/icde/WollersheimR05 fatcat:4hbyopfy5vf4hioev5ytbj5giy
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