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A Relation Extraction Approach for Clinical Decision Support
[article]
2019
arXiv
pre-print
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We present preliminary results and show how relations are able to provide a sizable increase of the precision for several topics, albeit having no impact on others. ...
Semantic relations explicitly represent relatedness between concepts and carry high informative power that can be leveraged to improve the effectiveness of retrieval functionalities of clinical decision ...
Therefore, there has been a strong interest in Clinical Decision Support (CDS) systems [3] designed to produce effective and timely information that can help clinicians in the decision making process ...
arXiv:1905.01257v1
fatcat:zofcv37pwzawjlvvatj2xevstq
Automated knowledge extraction for decision model construction: a data mining approach
2003
AMIA Annual Symposium Proceedings
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To facilitate clinical decision model construction, we propose an approach to automatically extract semantic relations among medical terms from MEDLINE citations. ...
From such semantic relations, decision elements and possible relationships among them may be derived for clinical decision model construction. ...
Kim Leng Poh, for their valuable comments and suggestions. This research is supported by a Research Grant No. ...
pmid:14728275
pmcid:PMC1479908
fatcat:q2dx7j6ncbgxbg2b7dbvcjcnq4
Current Development and Technology in the Information Extraction for Clinical Narrative Text
2015
International Journal of Computer Science and Application
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We mainly introduce the Hidden Markov Model, Support Vector Machine, Ontology and other combined method used in information extraction for clinical narratives. ...
The objectives, typical systems, applications, technologies and future challenge of information extraction for clinical narrative are introduced in this paper. ...
Bansal for his valuable discussions and support. ...
doi:10.12783/ijcsa.2015.0402.01
fatcat:4cch3i72jjbo5hvnbbssvwnnpi
Recent advances in extracting and processing rich semantics from medical texts
2018
Artificial Intelligence in Medicine
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Acknowledgements We would like to thank Carlo Combi for providing the chance to organize this special issue. ...
We also thank the reviewers for their efforts to guarantee the high quality of this special issue. Finally, we thank all the authors who have contributed to this special issue. ...
The semantics from these combined sources couldwhen extracted automaticallysupport a broad range of applications including clinical decision support systems, outcome analysis, cohort analysis, etc. ...
doi:10.1016/j.artmed.2018.07.004
pmid:30082191
fatcat:ihopxnaz6ne4fndark7daa2jgy
Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access
2008
IMIA Yearbook of Medical Informatics
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They address a wide range of topics such as the recognition and extraction of negation or time from clinical narratives, the use of ontological elements to reduce the complexity of natural language processing ...
Results Five papers from international peer reviewed journals have been selected for the section on decision support, knowledge representation and management. ...
Acknowledgement I greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIA Yearbook. ...
doi:10.1055/s-0038-1638586
fatcat:7goj67s7hfbsdg54vj5ytm6lz4
Biomedical Signal and Image Processing for Clinical Decision Support Systems
2013
Computational and Mathematical Methods in Medicine
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methods used for clinical decision support systems. ...
This, of course, will impede the development of clinical decision support systems. ...
methods used for clinical decision support systems. ...
doi:10.1155/2013/578320
pmid:24381642
pmcid:PMC3870112
fatcat:lq5h5zmtovbp7dlgpofyctis34
Literature Recommendation to Support Clinical Diagnostic Decision — An Approach Based on Link Analysis in the Weighted Keywords Network
2015
International Journal of Knowledge Engineering-IACSIT
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We present an approach of selecting medical literature for the purpose of supporting clinical diagnostic decision. The proposed approach is based on link analysis in the weighted keywords network. ...
Finally, we report some related experiments and the results of user evaluations. Index Terms-Clinical decision support, link analysis, weighted keyword network, medical information retrieval. ...
For example, Hoeksema, Bazzy-Asaad, Lomotan, Edmonds, Ramírez-Garnica, Shiffman and Horwitz [22] point out that the clinical decision support service has been proposed as a promising approach to improve ...
doi:10.7763/ijke.2015.v1.23
fatcat:hkqgnzvrzrgfbm4ibroddqcewa
Are Semantic Annotators Able to Extract Relevant Complexity-Related Concepts from Clinical Notes?
[chapter]
2021
Studies in Health Technology and Informatics
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Clinical decision support systems (CDSSs) implementing cancer clinical practice guidelines (CPGs) have the potential to improve the compliance of decisions made by multidisciplinary tumor boards (MTB) ...
BCPSs being unstructured natural language textual documents, we implemented four semantic annotators (ECMT, SIFR, cTAKES, and MetaMap) to assess whether complexity-related concepts could be extracted from ...
Clinical decision support systems (CDSSs) are software components that aim to support clinicians in their decision-making process. ...
doi:10.3233/shti210836
pmid:34795101
fatcat:edlribgzlbcvxgqbnnn2uqemyq
Towards Integrated Information Extraction and Facetted Search Applications in Nephrology
2016
Extended Semantic Web Conference
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This work focusses on our first integration steps of complex and partly unstructured medical data into a clinical research database. ...
Our main application is an integrated facetted search tool in nephrology based on automatic information extraction results from textual documents. ...
Acknowledgements This research is part of the project "clinical data intelligence" (KDI) which is founded by the Federal Ministry for Economic Affairs and Energy (BMWi). ...
dblp:conf/esws/SchmidtPS16
fatcat:7n4k363elndojeky4rq5pi3aka
CLINICAL DATA WAREHOUSE A REVIEW
2018
Iraqi Journal for Computers and Informatics
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find answers related to the strategic clinical domain, thereby supporting clinical decisions. ...
Clinical decisions are crucial because they are related to human lives. Thus, managers and decision makers in the clinical environment seek new solutions that can support their decisions. ...
As a new approach of DW, CDW can enhance the quality of medical decisions and online data processing. CDW can serve as a basis for reporting, studying, planning and supporting clinical research. ...
doi:10.25195/2017/4424
fatcat:aoxq76cuonf3lcbxtah22vqahy
Pattern Analysis and Decision Support for Cancer through Clinico-Genomic Profiles
[chapter]
2007
ICCS 2007
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In this paper we present a novel system for pattern analysis and decision support in cancer. The system integrates clinical data from electronic health records and genomic data. ...
Pattern analysis and data mining methods are applied to these integrated data and the discovered knowledge is used for cancer decision support. ...
Clinical Decision Support using Clinico-genomic Profiles
Description of the Methodology Most of the proposed approaches for clinical decision support focus on a single outcome regarding their domain ...
doi:10.1007/978-1-84628-992-7_11
fatcat:3ish3fqs5ndwjegpfunppint6y
Incoporating Data Mining Applications into Clinical Guildelines
2006
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
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Finally, we demonstrate the proposed approach using a developed prototype tool for modeling and execution of knowledge-assisted guideline. ...
For this purpose, we investigate available standards to encode the mining results in an interoperable manner and then elaborate on how to incorporate them in the context of guideline-based clinical decision ...
To reduce the human related errors, clinical decision support systems have been developed to help physicians and caregivers in practicing medicine. ...
doi:10.1109/cbms.2006.99
dblp:conf/cbms/KazemzadehS06
fatcat:x2536wawejccbfucv63x5oblwm
A Concept-Centered Hypertext Approach to Case-Based Retrieval
[article]
2018
arXiv
pre-print
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For the automatic creation of documents' semantic networks, we design a combination of information extraction techniques and relational learning models. ...
The goal of case-based retrieval is to assist physicians in the clinical decision making process, by finding relevant medical literature in large archives. ...
The field of Biomedical Information Extraction (BioIE) has been active for many years and is highly relevant for clinical decision support. ...
arXiv:1811.11133v1
fatcat:jo6e2kgazfad5cpzs7vtq3bhbi
Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
[article]
2021
arXiv
pre-print
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Abstruse learning algorithms and complex datasets increasingly characterize modern clinical decision support systems (CDSS). ...
We discuss the idea of designing DST explanations not as specific to a DST or an algorithm, but as a domain-agnostic decision support infrastructure. ...
RELATED WORK
Biomedical Literature Supports Clinical Decision-Making Clinicians routinely consult biomedical literature for decision-making. ...
arXiv:2111.00621v1
fatcat:gt2635v2d5g7fif6ascrz4mxai
Building Data Warehouse for Diseases Registry: First Step for Clinical Data Warehouse
2013
Social Science Research Network
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Clinical Decisions. ...
Almost all the Decision Makers in medical path need a good platform which providing analytical results to use themin order to support their decisions.Due to vast amount of patient's records in Electronic ...
Related Works In this section we will present some of related works to our project.In [6] Palaniappan and Chua Sook Ling presented a prototype clinical decision support system which combines the strengths ...
doi:10.2139/ssrn.3061599
fatcat:qepd6i6rczgojlfeqtjfxxtkom
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