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Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach

The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virt...

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Autores principales: Agorastos, Theodoros, Koutkias, Vassilis, Falelakis, Manolis, Lekka, Irini, Mikos, Themistoklis, Delopoulos, Anastasios, Mitkas, Pericles A., Tantsis, Antonios, Weyers, Steven, Coorevits, Pascal, Kaufmann, Andreas M., Kurzeja, Roberto, Maglaveras, Nicos
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664695/
https://www.ncbi.nlm.nih.gov/pubmed/19458792
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author Agorastos, Theodoros
Koutkias, Vassilis
Falelakis, Manolis
Lekka, Irini
Mikos, Themistoklis
Delopoulos, Anastasios
Mitkas, Pericles A.
Tantsis, Antonios
Weyers, Steven
Coorevits, Pascal
Kaufmann, Andreas M.
Kurzeja, Roberto
Maglaveras, Nicos
author_facet Agorastos, Theodoros
Koutkias, Vassilis
Falelakis, Manolis
Lekka, Irini
Mikos, Themistoklis
Delopoulos, Anastasios
Mitkas, Pericles A.
Tantsis, Antonios
Weyers, Steven
Coorevits, Pascal
Kaufmann, Andreas M.
Kurzeja, Roberto
Maglaveras, Nicos
author_sort Agorastos, Theodoros
collection PubMed
description The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virtually unifies multiple patient record repositories, physically located in different medical centers/hospitals, thus, increasing flexibility by allowing the formation of study groups “on demand” and by recycling patient records in new studies. To this end, ASSIST uses semantic technologies to translate all medical entities (such as patient examination results, history, habits, genetic profile) and represent them in a common form, encoded in the ASSIST Cervical Cancer Ontology. The current paper presents the knowledge elicitation approach followed, towards the definition and representation of the disease’s medical concepts and rules that constitute the basis for the ASSIST Cervical Cancer Ontology. The proposed approach constitutes a paradigm for semantic integration of heterogeneous clinical data that may be applicable to other biomedical application domains.
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spelling pubmed-26646952009-05-20 Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach Agorastos, Theodoros Koutkias, Vassilis Falelakis, Manolis Lekka, Irini Mikos, Themistoklis Delopoulos, Anastasios Mitkas, Pericles A. Tantsis, Antonios Weyers, Steven Coorevits, Pascal Kaufmann, Andreas M. Kurzeja, Roberto Maglaveras, Nicos Cancer Inform Original Research The current work addresses the unification of Electronic Health Records related to cervical cancer into a single medical knowledge source, in the context of the EU-funded ASSIST research project. The project aims to facilitate the research for cervical precancer and cancer through a system that virtually unifies multiple patient record repositories, physically located in different medical centers/hospitals, thus, increasing flexibility by allowing the formation of study groups “on demand” and by recycling patient records in new studies. To this end, ASSIST uses semantic technologies to translate all medical entities (such as patient examination results, history, habits, genetic profile) and represent them in a common form, encoded in the ASSIST Cervical Cancer Ontology. The current paper presents the knowledge elicitation approach followed, towards the definition and representation of the disease’s medical concepts and rules that constitute the basis for the ASSIST Cervical Cancer Ontology. The proposed approach constitutes a paradigm for semantic integration of heterogeneous clinical data that may be applicable to other biomedical application domains. Libertas Academica 2009-02-03 /pmc/articles/PMC2664695/ /pubmed/19458792 Text en © 2009 The authors. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Original Research
Agorastos, Theodoros
Koutkias, Vassilis
Falelakis, Manolis
Lekka, Irini
Mikos, Themistoklis
Delopoulos, Anastasios
Mitkas, Pericles A.
Tantsis, Antonios
Weyers, Steven
Coorevits, Pascal
Kaufmann, Andreas M.
Kurzeja, Roberto
Maglaveras, Nicos
Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title_full Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title_fullStr Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title_full_unstemmed Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title_short Semantic Integration of Cervical Cancer Data Repositories to Facilitate Multicenter Association Studies: The ASSIST Approach
title_sort semantic integration of cervical cancer data repositories to facilitate multicenter association studies: the assist approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664695/
https://www.ncbi.nlm.nih.gov/pubmed/19458792
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