5 results for Atalag, Koray, Conference poster

  • Annotation of Clinical Datasets Using openEHR Archetypes

    Zivaljevic, Aleksandar; Atalag, Koray; de Bono, B; Hunter, Peter (2015-02-19)

    Conference poster
    The University of Auckland Library

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  • So what does linking computational models with clinical data mean and how to do it?

    Atalag, Koray; Kalbasi, R; Zivaljevic, Aleksandar; Nickerson, David; Warren, James; Cooling, M; Hunter, Peter (2017-02-23)

    Conference poster
    The University of Auckland Library

    Linking computational physiology models with clinical data has been proposed to help real-world model validation as well as enable personalised and predictive clinical decision support systems. Electronic health records (EHR) are sinks of biomedical knowledge and include manifestations of genomic and environmental aspects that impact on biological systems. We describe how to use openEHR to normalise, annotate and link clinical data with computational models.

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  • Bridging the Computational Modelling and EHR standards using openEHR and Semantic Web Technology

    Atalag, Koray; Zivaljevic, Aleksandar; Cooling, Michael; Nickerson, David (2015-10-12)

    Conference poster
    The University of Auckland Library

    Linking clinical data to computational physiology will enable real-world model validation as well as the possibility of personalised and population level predictive decision support tools. Electronic health records (EHR) embody quantifiable manifestations of genomic and environmental aspects that impact on biological systems when clinical data are structured. However data quality and semantic interoperability remains a major challenge in the world of EHRs. In the computational physiology domain recent attempts to enable semantic interoperability heavily rely on Semantic Web technologies and utilise ontology-based annotations (e.g. RICORDO) but a wealth of useful information and knowledge sits in EHRs where Semantic Web technologies have very limited use. openEHR provides a set of an open engineering specifications that provides a canonical health record architecture and open source tooling to support data collection and integration. Core openEHR specifications have also been adopted by ISO and CEN making it a full international standard which underpins many national programs and has multi-vendor implementations worldwide. Our work describes how to use openEHR to normalise, annotate and link clinical data with biophysical models by using openEHR Archetypes as semantic pointers to underlying clinical concepts in EHR.

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  • What should be stored in Biobanks? Using computational modelling to unravel genotype to phenotype linkage

    Cooling, Michael; Atalag, Koray (2016-10-31)

    Conference poster
    The University of Auckland Library

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  • Bridging Computational Modelling and Clinical Information using openEHR and Semantic Web

    Atalag, Koray; Zivaljevic, Aleksandar; Kalbasi, R; Cooling, Michael; Nickerson, David; Hunter, Peter (2016-02-19)

    Conference poster
    The University of Auckland Library

    Linking clinical data to computational physiology is a crucial step for personalised and predictive Medicine. Electronic health records (EHR) embody quantifiable manifestations of genetic and environmental effects that impact on biological systems. Recent attempts to enable this linkage heavily rely on semantic technologies however in the world of EHRs Semantic Web has very limited use. openEHR provides open engineering specifications and tooling to tackle health data which supports Semantic Web. We are setting up an openEHR-based research data repository at ABI to normalise and annotate clinical and experimental data with an aim to integrate with the Physiome Model Repository (PMR).

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