Data-driven method to enhance craniofacial and oral phenotype vocabularies.

Journal: Journal of the American Dental Association (1939)
Published Date: Nov 1, 2019

Abstract

BACKGROUND: A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenotype Ontology (HPO) is specifically used for semantic comparisons for diagnostic purposes. All these functions require quality coverage of the domain of interest. The authors used natural language processing to capture craniofacial and oral phenotype signatures from electronic health records and then used these signatures for evaluation of existing oral phenotype ontology coverage.

Authors

  • Rashmi Mishra
    2Fungal Biotechnology Lab, Department of Biotechnology, School of Life Sciences, Pondicherry University, Puducherry, 605014 India.
  • Andrea Burke
  • Bonnie Gitman
  • Payal Verma
  • Mark Engelstad
    Library and Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA.
  • Melissa A Haendel
    Library, Oregon Health & Science University, Portland, OR 97239, USA.
  • Ilias Alevizos
  • William A Gahl
    Section on Human Biochemical Genetics, Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Michael T Collins
  • Janice S Lee
  • Murat Sincan

Keywords

External Resources

Popular Topics
Recent Journals