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A Neuro-ontology for the neurological examination.

Daniel B HierSteven U Brint
Published in: BMC medical informatics and decision making (2020)
An ontology based on a subset of UMLS has sufficient breadth and depth of coverage to convert deficits from the neurological examination into machine-readable codes using pre-coordinated concepts. The use of a small subset of UMLS concepts for a neurological examination ontology offers the advantage of improved manageability as well as the opportunity to curate the hierarchy and subsumption relationships.
Keyphrases
  • traumatic brain injury
  • cerebral ischemia
  • healthcare
  • deep learning
  • optical coherence tomography