Publications by authors named "Robert H Baud"

Objectives: To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negative consequences of confusing them.

Methods: The viewpoints of the terminologist and (computational) linguist are developed separately, and then compared, leading to the presentation of reconciliation among these points of view, with consideration of the role of the ontologist.

Results: In order to encourage appropriate usage of terminologies, guidelines are presented advocating the simultaneous publication of pragmatic vocabularies supported by terminological material based on adequate ontological analysis.

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Article Synopsis
  • Clinical communication is essential for medical providers and consumers, emphasizing the need for standardized terminology as driven by the World Health Organization in Australia.
  • A collaborative approach, similar to France's CCAM coding system, involves different coding centers creating a structured semantic representation of terms, which are then translated into multiple languages for consistency.
  • Initial assessments of the International Classification of Health Interventions reveal that using ontology-driven natural language generation tools is effective and cost-efficient for developing coherent international medical terminologies.
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The general problem of knowledge representation for gross anatomy supporting both computers and human is rarely globally solved. Partial solutions are flourishing, but the actual and potential users are left with a lack of satisfaction and uncomfortable feeling of incompleteness. Moreover, these solutions are not ready for a sound evolution and are at risk to disappear at any moment by default of adequate maintenance.

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The distribution of ICD10 is of concern for thousand of developers in numerous countries. The absence of some basic features to facilitate the transfer and consequently to augment the quality of the delivered version is a constant characteristic. Errors, ambiguities, missing terms, unrecognised attributes are quite common, despite the efforts of some national centres doing their best to fill this gap.

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Objectives: To cope with medical terms, which present a high variability of expression through a single natural language, in the sense that any term may be reformulated in hundred of different ways.

Methods: A typology of term variants is presented as a systematic approach in order to favour the implementation of an exhaustive solution. Then, an algorithm able to handle all variants is designed.

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