Ontology based semantic representation for Public Health data integration

Rao, Rohini R.; Makkithaya, Krishnamoorthi; Gupta, Neha

doi:10.1109/ic3i.2014.7019701

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…We demonstrate how complex and heterogeneous public health knowledge can be modeled and stored in an ontology. Previous work has focused on local activities, such as activities within a health care network [ 60 ]. OntoPH extends the scope from local level to global/national level by focusing on general documents.…”

Section: Discussionmentioning

confidence: 99%

“…Public health documents, including guidelines, procedures, and academic publications, are important sources of knowledge. Even though medical records, geographic information system data, and disease information have been studied and stored in ontologies [ 60 , 61 ], to our knowledge, there is no ontology for public health documents. OntoPH provides this missing piece of public health knowledge management.…”

Section: Discussionmentioning

confidence: 99%

“…OntoPH implements a modularized structure, which ensures its extensibility. For example, the space-time module can be extended using time ontologies [ 60 , 62 ] and World Wide Web Consortium spatial ontologies [ 63 ]. It is also possible to add new modules.…”

Section: Discussionmentioning

confidence: 99%

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Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology

et al. 2017

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BackgroundThere are increasing concerns about our preparedness and timely coordinated response across the globe to cope with emerging infectious diseases (EIDs). This poses practical challenges that require exploiting novel knowledge management approaches effectively.ObjectiveThis work aims to develop an ontology-driven knowledge management framework that addresses the existing challenges in sharing and reusing public health knowledge.MethodsWe propose a systems engineering-inspired ontology-driven knowledge management approach. It decomposes public health knowledge into concepts and relations and organizes the elements of knowledge based on the teleological functions. Both knowledge and semantic rules are stored in an ontology and retrieved to answer queries regarding EID preparedness and response.ResultsA hybrid concept extraction was implemented in this work. The quality of the ontology was evaluated using the formal evaluation method Ontology Quality Evaluation Framework.ConclusionsOur approach is a potentially effective methodology for managing public health knowledge. Accuracy and comprehensiveness of the ontology can be improved as more knowledge is stored. In the future, a survey will be conducted to collect queries from public health practitioners. The reasoning capacity of the ontology will be evaluated using the queries and hypothetical outbreaks. We suggest the importance of developing a knowledge sharing standard like the Gene Ontology for the public health domain.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology

et al. 2017

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“…Hence, a dynamic and robust technique or approach must be appropriately selected for permitting secured sharing of sensitive health data in disparate interoperable healthcare domain. Authors in [13] [14], developed a model based on ontology for interoperability between heterogeneous systems, focusing on modelling, structuring, representing data along with interoperability. There are various ways to model and represent data, however, they lack in providing full interoperability.…”

Section: A Related Workmentioning

confidence: 99%

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

Naveed

Sigwele²,

Hu³

et al. 2020

jesr

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The use of Electronic Health Records (EHR) in healthcare has the potential of reducing medical errors, minimizing healthcare cost and significantly improving the healthcare service quality. However, there is a barrier in healthcare data and information exchange between various healthcare systems due to the lack of interoperability. Also, with the implementation of EHR system, there are security and privacy concerns in the storage and transferring data entities. The healthcare interoperability problem remains an issue of further research and this paper proposes a semantic interoperability framework for solving this problem by allowing healthcare stakeholders and organizations (doctors, clinics, hospitals)using various healthcare standards to exchange data and its semantics, which can be understood by both machines and humans. Moreover, the proposed framework takes into consideration the security aspects in the semantic interoperability framework by utilizing data encryption and other technologies to secure the communication for the EHR information while ensuring real time data availability. Keywords:. Semantic interoperability; Interoperability standards; Electronic Health records(EHR); Artifical Intelligence Techniques. Natural Language Processing (NLP), Word2Vec, skip gram, CBOW

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Knowledge Base Construction Based on Knowledge Fusion Process Model

Fan

2019

Smart Health

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Ontology based semantic representation for Public Health data integration

Cited by 6 publications

References 12 publications

Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology

Knowledge Management Framework for Emerging Infectious Diseases Preparedness and Response: Design and Development of Public Health Document Ontology

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

Knowledge Base Construction Based on Knowledge Fusion Process Model

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