Use of computerized algorithm to identify individuals in need of testing for celiac disease Academic Article uri icon

Overview

MeSH Major

  • Algorithms
  • Celiac Disease
  • Electronic Health Records
  • Natural Language Processing

abstract

  • This study shows that computerized EMR-based algorithms can help identify patients at high risk of CD. NLP-based techniques demonstrate higher sensitivity and positive predictive values than algorithms based on ICD9 code searches.

publication date

  • December 19, 2013

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3861918

Digital Object Identifier (DOI)

  • 10.1136/amiajnl-2013-001924

PubMed ID

  • 23956016

Additional Document Info

start page

  • e306

end page

  • 10

volume

  • 20

number

  • E2