Marcos Menárguez-Tortosa

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Genome sequencing projects generate vast amounts of data of a wide variety of types and complexities, and at a growing pace. Traditionally, the annotation of such sequences was difficult to share with other researchers. Despite the fact that this has improved with the development and application of biological ontologies, such annotation efforts remain(More)
The semantic interoperability of electronic healthcare record systems is a major issue given that it would increase the quality of healthcare and patient safety. In this chapter, different solutions based on the use of semantic models for representing clinical knowledge are presented. The aim of the research presented here is to contribute to the(More)
Most advanced Electronic Healthcare Records architectures represent clinical knowledge by means of archetypes. Consequently , guaranteeing the correctness and consistency of such archetypes becomes crucial for the success of those ar-chitectures. In this work, we present a method that uses OWL and reasoners for evaluating the consistency of the archetypes.(More)
Semantic interoperability of clinical standards is a major challenge in the eHealth across Europe, because this would allow health-care professionals to manage the complete EHR of patient. Archetypes are considered a cornerstone to deliver fully interoperable EHRs. Our work is focused on the development of ontology-based methods and techniques for providing(More)
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