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Knowledge Representations and Inference Techniques for Medical Question Answering
2017
ACM Transactions on Intelligent Systems and Technology
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In this article, we examine the representation and role of combining medical knowledge automatically derived from (a) clinical practice and (b) research findings for inferring answers to medical questions ...
Answering medical questions related to complex medical cases, as required in modern Clinical Decision Support (CDS) systems, imposes (1) access to vast medical knowledge and (2) sophisticated inference ...
Thus, we believed that by focusing on medical knowledge representations and experimenting with inference methods operating on them, we could not only find the optimal knowledge representations and inference ...
doi:10.1145/3106745
fatcat:32gg3pidvzbp7gl5oneizmku34
Biomedical question answering: A survey
2010
Computer Methods and Programs in Biomedicine
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More extensive and integrated utilization of semantic knowledge throughout the QA process, and (5) Incorporation of logic and reasoning mechanisms for answer inference. ...
of more sophisticated techniques for natural language (NL) question analysis and classification, (3) Development of effective methods for answer generation from potentially conflicting evidences, (4) ...
Acknowledgement We would like to thank the anonymous reviewers for their helpful feedback. r e f e r e n c e s ...
doi:10.1016/j.cmpb.2009.10.003
pmid:19913938
fatcat:tv4sel4llbcnjppnn7g2tygqze
A Review on Automated Disease Diagnosis Techniques
2017
IJARCCE
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Diseases and symptoms are collected and used as the Question Answer pairs. In this paper, a survey of different techniques for automatic disease diagnosis is done. ...
The development of computer technologies and increased expenditure of healthcare are the reasons for innovation of automated disease inference system. ...
The model extracts text and builds a knowledge base which can give answers to the factoid questions. ...
doi:10.17148/ijarcce.2017.63187
fatcat:bxgqlbcyyzc5tjstmb6xdc6ogi
Epistemic Structured Representation for Legal Transcript Analysis
[chapter]
2008
Advances in Computer and Information Sciences and Engineering
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In this paper, a process for transforming the semistructured representation of the digital transcript to an epistemic structured representation that supports semantic and inferencebased search is explored ...
However, the search techniques employed are still largely restricted to keyword search and various probabilistic association techniques. ...
For instance, question and answer pairs are conveniently coded as: Q. Was Oren in fact a medical doctor? A. Yes, he's a surgeon, doctor. ...
doi:10.1007/978-1-4020-8741-7_19
dblp:conf/cisse/HughesHL07
fatcat:pr43gmfwobfpvavgungnnmf4he
Page 55 of Computational Linguistics Vol. 33, Issue 1
[page]
2007
Computational Linguistics
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Introduction to the Articles in this Special Section
Demner-Fushman and Lin’s article (Answering clinical questions with knowledge-based and statistical techniques) extends previous work by the authors ...
may be sometimes substituted by template-like interfaces or unambiguous formal outputs (only
useful for expert users) when exact knowledge understanding and representation is required. ...
A knowledge graph based question answering method for medical domain
2021
PeerJ Computer Science
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Our approach can understand questions, connect the questions to the knowledge graph and inference the answers on the knowledge graph. ...
To address the problems, in this paper, we propose an approach of knowledge graph based question answering (KGQA) method for medical domain, which firstly constructs a medical knowledge graph by extracting ...
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ...
doi:10.7717/peerj-cs.667
pmid:34604514
pmcid:PMC8444078
fatcat:5po324l7tfbj3p6y2guzakpi4q
Toward a Framework for Indonesian Medical Question Generator
2015
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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In this paper, we attempt to describe a general framework that could help develop and characterise efforts to Indonesian medical questions generation. ...
The final result of this research is a pattern of question and answer pairs, where the test results show the pattern matching algorithm precision value of 0.101 and a recall of 0.712. ...
Acknowledgment We thank anonymous reviewers for their helpful comments. ...
doi:10.12928/telkomnika.v13i1.648
fatcat:cvlbizen4fhmfgnvxxd47qu65y
Design and Implementation of Intelligent Agent and Diagnosis Domain Tool for Rule-Based Expert System
2013
2013 International Conference on Machine Intelligence and Research Advancement
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The DDTRES consists of four components: end-user interface, inference engine, explanation facility, and empty knowledge base. ...
We proposed also an intelligent agent for data mining to extract set of rule from medical dataset and put it in empty knowledge base of DDTRES to capture complete rulebased expert system which can produce ...
There are many techniques used to construct user interface such as graphical, questions and answers, menu driven, and natural language interface. ...
doi:10.1109/icmira.2013.129
fatcat:pbfwn7o7ord3dnylztytvntlki
Natural Language Processing for Smart Healthcare
[article]
2022
arXiv
pre-print
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In this work, we review existing studies that concern NLP for smart healthcare from the perspectives of technique and application. ...
We further discuss the limitations of current works and identify the directions for future works. ...
Within knowledge engineering, knowledge acquisition and knowledge representation are coupling with information extraction, aiming at the acquisition and representation of medical knowledge in a certain ...
arXiv:2110.15803v2
fatcat:3o6tx5wqezdb5mgyfub2jtuiqu
Structured knowledge management techniques for the development of interactive and adaptive decision support system
2009
Computer Science Journal of Moldova
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So, multiple representations of the acquired and structured knowledge and management techniques could provide a solution for decision support system inference and interface requirements satisfaction. ...
The main problem at this stage is to find a knowledge representation (KR) and a supporting reasoning system that can make the inferences your application needs. ...
Acknowledgments This research is supported partially by Moldova State Program and the Science & Technology Center in Ukraine (STCU) grant #4035. ...
doaj:5ab5374eaf0c4c94bc28dac3bb6b2a2f
fatcat:bgtoims7yraq5g3tyr5zqsbor4
Question answering on the semantic Web
2004
IEEE Intelligent Systems
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She also runs a consulting business dealing with ontologies and artificial intelligence for business applications. ...
McGuinness is the associate director and senior research scientist at Stanford University's Knowledge Systems Laboratory. ...
Full knowledge representation for questions and answers. ...
doi:10.1109/mis.2004.1265890
fatcat:xycqblnw4jdmhk6c5w3doycrve
A Methodology for Ontology Building
2012
International Journal of Computer Applications
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What distinguishes the proposed methodology is the execution of knowledge representation which involves the use of conceptualization and inference rules. ...
Osteoarthritis ontologies which belong to the medical domain and a proposal for a new methodology applied to build the two medical ontologies. ...
The third is the semi-structured technique; it enables the knowledge developer to ask predefined questions and allows to the experts some freedom to express his answer. ...
doi:10.5120/8867-2834
fatcat:w5uhbjwjrzg6pnzfd5g4ejdmwe
Medical Question Answering for Clinical Decision Support
2016
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16
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In this paper, we present a novel framework for answering medical questions in the spirit of TREC-CDS by first discovering the answer and then selecting and ranking scientific articles that contain the ...
The probabilistic inference of answers combines knowledge from medical practice (EMRs) with knowledge from medical research (scientific articles). ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. ...
doi:10.1145/2983323.2983819
pmid:28758046
pmcid:PMC5530755
dblp:conf/cikm/GoodwinH16
fatcat:pwy6jxh3a5dhlawpl23d3witsi
A framework of a logic-based question-answering system for the medical domain (LOQAS-Med)
2009
Proceedings of the 2009 ACM symposium on Applied Computing - SAC '09
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In this paper, we present a framework for a logic-based question-answering system for the medical domain, which uses Description Logic as the formalism for knowledge representation and reasoning. ...
Question-answering systems that provide precise answers to questions, by combining techniques for information retrieval, information extraction, and natural language processing, are seen as the next-generation ...
In this paper, we extend the work in presenting a framework of LOQAS-Med (LOgic-based QA System for the Medical domain) which uses Description Logic (DL) [3] for knowledge representation and reasoning ...
doi:10.1145/1529282.1529462
dblp:conf/sac/AthenikosHB09
fatcat:6w7tkssx3rh6dmzm5bzopnzxk4
A comparative evaluation of an ontological medical decision support system (OMeD) for critical environments
2012
Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12
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OMeD utilizes a natural-language-like user interface (for querying) and semantic web techniques (for knowledge representation and reasoning) to answer queries. ...
In this work we demonstrate and evaluate a new medical decision making support system, called OMeD, which automatically answers medical queries in real time, by collecting and processing medical information ...
(ii) A knowledge representation component, which aggregates and translates scenario specific information into a semantic representation suitable for use with OMeD. ...
doi:10.1145/2110363.2110444
dblp:conf/ihi/DoucetteKC12
fatcat:l4elnvqioffjdk7xgr3misf2vu
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