Development of phenotype algorithms using electronic medical records and incorporating natural language processing

BMJ. 2015 Apr 24;350:h1885. doi: 10.1136/bmj.h1885.

Abstract

Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype algorithm from electronic medical records, incorporating modern informatics and biostatistics methods.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Electronic Health Records* / statistics & numerical data
  • Humans
  • Information Storage and Retrieval
  • Interdisciplinary Communication
  • Natural Language Processing*
  • Phenotype*
  • Translational Research, Biomedical