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Knowledge Representations and Inference Techniques for Medical Question Answering

Travis R. Goodwin, Sanda M. Harabagiu
2017 ACM Transactions on Intelligent Systems and Technology  
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

Sofia J. Athenikos, Hyoil Han
2010 Computer Methods and Programs in Biomedicine  
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

Sunena Rose M V, Dr. Sobhana N. V
2017 IJARCCE  
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]

Tracey Hughes, Cameron Hughes, Alina Lazar
2008 Advances in Computer and Information Sciences and Engineering  
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  
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

Xiaofeng Huang, Jixin Zhang, Zisang Xu, Lu Ou, Jianbin Tong
2021 PeerJ Computer Science  
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

Wiwin Suwarningsih, Iping Supriana, Ayu Purwarianti
2015 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
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

Mohammed Abbas Kadhim, M. Afshar Alam, Harleen Kaur
2013 2013 International Conference on Machine Intelligence and Research Advancement  
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]

Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma
2022 arXiv   pre-print
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

Iulian Secrieru
2009 Computer Science Journal of Moldova  
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

D.L. McGuinness
2004 IEEE Intelligent Systems  
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

M. Gawich, A. Badr, A. Hegazy, H. Ismail
2012 International Journal of Computer Applications  
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

Travis R. Goodwin, Sanda M. Harabagiu
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
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)

Sofia J. Athenikos, Hyoil Han, Ari D. Brooks
2009 Proceedings of the 2009 ACM symposium on Applied Computing - SAC '09  
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

John A. Doucette, Atif Khan, Robin Cohen
2012 Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12  
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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