Knowledge Representation and Management: Towards an Integration of a Semantic Web in Daily Health Practice

Griffon, Nicolas; Charlet, Jean; Darmoni, Sj

doi:10.1055/s-0038-1638847

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Знания представляют собой закономерности предметной области (принципы, связи, законы), полученные в результате практической деятельности и профессионального опыта, позволяющие специалистам ставить и решать задачи в данной области. Именно для представления знаний в компьютерной форме используются онтология -компьютерная форма представления знаний в виде семантической сети, где в качестве главных концептов выступают объекты с их атрибутами, отношения между объектами и сценарии (алгоритмы) функционирования объектов [5,12,16].…”

Section: ©коллектив авторов 2017unclassified

The Use of Ontology in Screening for Cancer

Барчук¹,

Satikov²,

Gaydukov³

et al. 2017

Problems in oncology

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One of the most important problems of modern medicine, which, in particular, precludes the effective implementation of new diagnostic methods such as population screening, is the steady increase of volumes of important medical data, as well as insufficient attention to the analysis of the dynamics of the patients’ condition. These problems can be solved by the information support of medical specialist in the process of research and in the formation of recommendations for further management of patients. In the study, we examined the possible ways of solving these problems through the development of software tools for creation of knowledge bases of recommendations for monitoring and treatment of various diseases, as well as intelligent decision support by the example of cancer. The results of tests of these solutions allow speaking about their effectiveness and applicability in clinical practice.

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Section: ©коллектив авторов 2017unclassified

The Use of Ontology in Screening for Cancer

Барчук¹,

Satikov²,

Gaydukov³

et al. 2017

Problems in oncology

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“…KRM focuses on the development of techniques to be used and leveraged in other medical informatics domains. During the last years, we observed a growing interest in integrating medical data to ensure interopera-bility between heterogeneous sources of data [1][2][3][4]. Not surprisingly, the use of knowledge representation models, especially ontologies, has become a significant approach for enabling complex integration tasks.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Representation and Management, It’s Time to Integrate!

Dhombres¹,

Charlet²

2017

Yearb Med Inform

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SummaryObjectives: To select, present, and summarize the best papers published in 2016 in the field of Knowledge Representation and Management (KRM). Methods: A comprehensive and standardized review of the medical informatics literature was performed based on a PubMed query. Results: Among the 1,421 retrieved papers, the review process resulted in the selection of four best papers focused on the integration of heterogeneous data via the development and the alignment of terminological resources. In the first article, the authors provide a curated and standardized version of the publicly available US FDA Adverse Event Reporting System. Such a resource will improve the quality of the underlying data, and enable standardized analyses using common vocabularies. The second article describes a project developed in order to facilitate heterogeneous data integration in the i2b2 framework. The originality is to allow users integrate the data described in different terminologies and to build a new repository, with a unique model able to support the representation of the various data. The third paper is dedicated to model the association between multiple

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“…As already mentioned [1][2], main ongoing works on Knowledge Representation and Management in the biomedical domain are related to semantic interoperability i.e. the ability of heterogeneous systems to exchange information between them in order to enable the use of this exchanged…”

Section: Introductionmentioning

confidence: 99%

Efficient Results in Semantic Interoperability for Health Care

Soualmia

Charlet

2016

Yearb Med Inform

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SummaryObjectives: To summarize excellent current research in the field of Knowledge Representation and Management (KRM) within the health and medical care domain. Method: We provide a synopsis of the 2016 IMIA selected articles as well as a related synthetic overview of the current and future field activities. A first step of the selection was performed through MEDLINE querying with a list of MeSH descriptors completed by a list of terms adapted to the KRM section. The second step of the selection was completed by the two section editors who separately evaluated the set of 1,432 articles. The third step of the selection consisted of a collective work that merged the evaluation results to retain 15 articles for peer-review. Results: The selection and evaluation process of this Yearbook's section on Knowledge Representation and Management has yielded four excellent and interesting articles regarding semantic interoperability for health care by gathering heterogeneous sources (knowledge and data) and auditing ontologies. In the first article, the authors present a solution based on standards and Semantic Web technologies to access distributed and heterogeneous datasets in the domain of breast cancer clinical trials. The second article describes a knowledge-based recommendation system that relies on ontologies and Semantic

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Knowledge Representation and Management: Towards an Integration of a Semantic Web in Daily Health Practice

Cited by 3 publications

References 6 publications

The Use of Ontology in Screening for Cancer

The Use of Ontology in Screening for Cancer

Knowledge Representation and Management, It’s Time to Integrate!

Efficient Results in Semantic Interoperability for Health Care

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