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Gewählte Publikation:

Kuppassery Abdulnazar, A.
Computational Semantics for Intelligent Digital Health Applications
PhD-Studium (Doctor of Philosophy); Humanmedizin; [ Dissertation ] Mediziniche Universität Graz; 2025. pp. 99 [OPEN ACCESS]
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Autor*innen der Med Uni Graz:
Betreuer*innen:
Kreuzthaler Markus Eduard
Schulz Stefan
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Abstract:
Introduction. The introduction of electronic health records (EHRs) has revolutionized healthcare by digitizing patient information and improving its accessibility and reuse. However, interoperability remains a significant challenge due to variations in terminologies, data formats, and system architecture across institutions, hindering seamless data exchange. This lack of standardization limits the potential of intelligent digital health applications. This dissertation explores solutions to enhance EHR interoperability by applying classical and deep learning-based text classification methods, automating named entity recognition (NER) and medical concept normalization (MCN) using unsupervised techniques, and leveraging transformer models and large language models (LLMs) for mapping clinical narratives to terminologies such as SNOMED CT.

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