Design patterns for the development of electronic health record-driven phenotype extraction algorithms Academic Article uri icon

Overview

MeSH Major

  • Algorithms
  • Biological Ontologies
  • Data Mining
  • Electronic Health Records
  • Genomics
  • Natural Language Processing
  • Pattern Recognition, Automated

abstract

  • Repeatable patterns within phenotyping algorithms exist, and when codified and cataloged may help to educate both experienced and novice algorithm developers. The dissemination and application of these patterns has the potential to decrease the time to develop algorithms, while improving portability and accuracy.

publication date

  • January 2014

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4194216

Digital Object Identifier (DOI)

  • 10.1016/j.jbi.2014.06.007

PubMed ID

  • 24960203

Additional Document Info

start page

  • 280

end page

  • 6

volume

  • 51