A Neuro-ontology for the neurological examination.

Journal: BMC medical informatics and decision making

PMID: 32131804

Abstract

BACKGROUND: The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing the neurological examination as machine-readable codes based on UMLS Metathesaurus concepts.

Authors

Daniel B Hier

Department of Neurology and Rehabilitation, University of Illinois at Chicago, 912 S. Wood Street (MC 796), Chicago, IL, 60612, USA. dhier@uic.edu.
Steven U Brint

Department of Neurology and Rehabilitation, University of Illinois at Chicago, 912 S. Wood Street (MC 796), Chicago, IL, 60612, USA.

Keywords

Biological Ontologies Electronic Health Records Humans Neurologic Examination Systematized Nomenclature of Medicine Unified Medical Language System

External Resources

View on PubMed Access via DOI PubMed (32131804)

A Neuro-ontology for the neurological examination.

Abstract

Authors

Keywords

External Resources

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