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Biomedical Document Retrieval for Clinical Decision Support System

Jainisha Sankhavara
2018 Proceedings of ACL 2018, Student Research Workshop  
In this work, we are focusing on biomedical document retrieval from literature for clinical decision support systems.  ...  We report initial results for statistical and NLP based query reformulation approaches and learning to rank approach with future direction of research.  ...  Standard IR frameworks PRF and RF works good enough for Clinical Decision Support System.  ... 
doi:10.18653/v1/p18-3012 dblp:conf/acl/Sankhavara18 fatcat:ggpycr4cfvckrl7j4ddy733hum

Relevant evidence acquisition and appraisal using knowledge-intensive queries

Muhammad Afzal, Sungyoung Lee
2016 2016 18th International Conference on Advanced Communication Technology (ICACT)  
In healthcare domain, the clinical researchers and physicians are even more interested to find quality information to use as a clinical evidence in decision making.  ...  The first challenge is to automatically reformulate the user query into a knowledge-intensive query in order to acquire articles that are relevant to user needs.  ...  INTRODUCTION Evidence-based systems have long been used in clinical domain for clinical practice as a support to the clinicians in order to make better clinical decisions.  ... 
doi:10.1109/icact.2016.7423528 fatcat:ve4pmvbf5bf77cw2lsr5mgvpea

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  ...  Two main lines of work have emerged in the past years to tackle this issue: (i) the use of external knowledge resources to enhance query and document bag-of-words representations; and (ii) the use of semantic  ...  Acknowledgements The work was supported by the ExaMode project, as part of the European Union H2020 program under Grant Agreement no. 825292.  ... 
dblp:conf/fdia/Marchesin19 fatcat:5cj3rjszavd6pa3g6tklppenaq

Implicit Negative Feedback in Clinical Information Retrieval

Lorenz Kuhn, Carsten Eickhoff
2016 Swiss Medical Informatics  
Our experimental results are based on data collected in the course of the TREC Clinical Decision Support Track and show consistent improvements compared to state-of-the-art methods.  ...  For queries that make excessive use of negations, we were able to achieve up to 300% relative improvement in early precision.  ...  State-of-the-art retrieval models applied to clinical decision-support settings rely on full-text indices of biomedical literature and use the textual content of the patient record to construct queries  ... 
doi:10.4414/smi.32.00355 fatcat:ndnrsy7mk5eu7fqma4nnrubrmi

Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track

Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, V. G. Vinod Vydiswaran
2015 Text Retrieval Conference  
The goal of TREC 2015 Clinical Decision Support Track was to retrieve biomedical articles relevant for answering three kinds of generic clinical questions, namely diagnosis, test, and treatment.  ...  Furthermore, we trained a re-ranking sub-system based on the results of TREC 2014 Clinical Decision Support track using Indri's Learning to Rank package, RankLib.  ...  While making clinical decisions, physicians often seek out Text REtrieval Conference TREC 2015 Clinical Decision Support Track additional information to provide the best care for their patients.  ... 
dblp:conf/trec/HuWMV15 fatcat:odasi6i4fzhepoevyin4w3nxcm

Revisiting Medical Entity Recognition through the Guidelines of the Aurora Initiative

Praveen Kumar, Sabah Mohammed, Arnold Kim, Jinan Fiaidhi
2016 International Journal of Bio-Science and Bio-Technology  
This research focused to produce a prototype system which allows the user to input their queries about a clinical text in a syntax free language which will be reformulate into DSL format in background.  ...  The reformulated query then matches against the rules defined by using the DSL to get the matched rule-type. The DSL is created using Xtext framework specifically to create NER rules easily.  ...  It was originally designed for decision support applications in the domain of radiology reports of the chest, and was extended to other domains, such as mammography and discharge summaries later.  ... 
doi:10.14257/ijbsbt.2016.8.4.13 fatcat:amthxl4m4zd5pdtahwl2qu76ry

Robust diagnostic classification via Q-learning

Victor Ardulov, Victor R. Martinez, Krishna Somandepalli, Shuting Zheng, Emma Salzman, Catherine Lord, Somer Bishop, Shrikanth Narayanan
2021 Scientific Reports  
AbstractMachine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses.  ...  This work formulates diagnostic classification as a decision-making process and utilizes Q-learning to build classifiers that meet the aforementioned desired criteria.  ...  Acknowledgements This research was supported by the Simons Foundation and National Institutes of Health (NICHD Grant No. 1R01HD093012-01).  ... 
doi:10.1038/s41598-021-90000-4 pmid:34083579 pmcid:PMC8175431 fatcat:3m7cnymf2jfmdg35brwdu5dcda

Do Users Benefit from Controlled Vocabularies in Search Interfaces?

Ying-Hsang Liu, Paul Thomas, Jan-Felix Schmakeit, Tom Gedeon
2012 European Workshop on Human-Computer Interaction and Information Retrieval  
These vocabularies are expensive to build and use, however, and seem to be useful mostly for domain experts.  ...  Search providers in domains from medicine to news have long labelled documents with controlled vocabularies, to help users explore their collections.  ...  the decision-making process in query reformulation; particularly for difficult search topics.  ... 
dblp:conf/eurohcir/LiuTSG12 fatcat:m23roxirufbbjfsw56e4xjhpy4

Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain

Aicha Ghoulam, Fatiha Barigou, Ghalem Belalem, Farid Meziane
2018 International Journal of Intelligent Information Technologies  
The goal of this method is to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information.  ...  Many users' queries contain references to named entities, and this is particularly true in the medical field.  ...  For a long time, query expansion (QE) has been the main motivation for improving the retrieval effectiveness of an IRS.  ... 
doi:10.4018/ijiit.2018070101 fatcat:sr4doh5zv5hpbd25nqthhml5dm

Engaging the Abilities of Participants with Intellectual Disabilityin IIR Research

Laurianne Sitbon, Benoit Favre, Margot Brereton, Stewart Koplick, Lauren Fell
2020 Proceedings of the 2020 Conference on Human Information Interaction and Retrieval  
The accessible prototype makes use of images as prompts and query support, and includes social aspects.  ...  At CHIIR 2019, Berget and MacFarlane [4] pointed out the need for ethical methodologies when involving participants with dyslexia.  ...  ACKNOWLEDGMENTS We thank all the participants in the study for their generous time and insights.  ... 
doi:10.1145/3343413.3377972 dblp:conf/chiir/SitbonFBKF20 fatcat:r7jaya4zajbqjjfcnde2wexh74

Benchmarking Clinical Decision Support Search [article]

Vincent Nguyen, Sarvnaz Karimi, Sara Falamaki, Cecile Paris
2018 arXiv   pre-print
From 2014 to 2016, TREC conducted a clinical decision support track, wherein participants were tasked with finding articles relevant to clinical questions posed by physicians.  ...  By using a stable platform, we have been able to compare different document and query processing techniques, allowing us to experiment with different search parameters.  ...  We are also grateful for the financial support from Decision Sciences Program at CSIRO, as well as constructive comments and feedback from our colleagues in Language and Social Computing Team, especially  ... 
arXiv:1801.09322v1 fatcat:atlu276fcjhd5el4l67qota644

Seeking treatment options: Consumers' search behaviors and cognitive activities

Ramona Broussard, Yan Zhang
2013 Proceedings of the American Society for Information Science and Technology  
The results indicate that search systems can better support consumers in finding novel information about treatment options, but that it would be best to introduce novel information after satisfying consumers  ...  As people increasingly search the Internet for health-related topics like treatment options, it is important to understand how they construct their searches, and how they understand the results.  ...  ACKNOWLEDGMENTS The authors want to thank the participants for their contributions to this study.  ... 
doi:10.1002/meet.14505001055 fatcat:fcpudf33ezcofpye2p5vjyucd4

Improving question formulation for use in evidence appraisal in a tertiary care setting: a randomised controlled trial [ISRCTN66375463]

Elmer V Villanueva, Elizabeth A Burrows, Paul A Fennessy, Meera Rajendran, Jeremy N Anderson
2001 BMC Medical Informatics and Decision Making  
New participants were invited to reformulate clinical queries. The Control Group was given no instructions.  ...  Conclusions: This trial demonstrated the positive impact of specific instructions on the proportion of properly-specified clinical queries.  ...  Acknowledgements Ms Jane Predl provided invaluable administrative support.  ... 
doi:10.1186/1472-6947-1-4 pmid:11716797 pmcid:PMC59901 fatcat:atnn4piww5gzrmygqqubpawvia

DOMAIN KNOWLEDGE ACQUISITION AND PLAN RECOGNITION BY PROBABILISTIC REASONING

MANOLIS MARAGOUDAKIS, ARISTOMENIS THANOPOULOS, KYRIAKOS SGARBAS, NIKOS FAKOTAKIS
2004 International journal on artificial intelligence tools  
Users could either learn about approximately 60 different antibiotics or ask for decision support on a given diagnosis using natural language for both cases.  ...  on learning Bayesian networks from past user questions.  ...  Introduction A major aim of medical informatics is to improve the quality of the interaction between therapists and medical decision support dialogue systems.  ... 
doi:10.1142/s0218213004001570 fatcat:ujjhj5x3ovdmrdpxvyvpun52ai

Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning [chapter]

Manolis Maragoudakis, Aristomenis Thanopoulos, Kyriakos Sgarbas, Nikos Fakotakis
2003 Lecture Notes in Computer Science  
Users could either learn about approximately 60 different antibiotics or ask for decision support on a given diagnosis using natural language for both cases.  ...  on learning Bayesian networks from past user questions.  ...  Introduction A major aim of medical informatics is to improve the quality of the interaction between therapists and medical decision support dialogue systems.  ... 
doi:10.1007/978-3-540-45226-3_39 fatcat:zsofcwkt7fardgkoefosl7y7we
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