Identification and extraction of family history information from clinical reports.

Published

Journal Article

Many clinical reports contain family history, which is valuable information for clinical decision support and research. We developed a simple natural language processing algorithm to identify and extract family histories. The algorithm was tested on a set of discharge summaries and outpatient clinic notes. The precision and recall of extracting all diagnoses were 85.12% and 86.93%, respectively. The precision and recall of differentiating family history from patient history diagnoses were 96.30% and 92.86%, respectively. Both the precision and recall of exact family member assignment were 92.31%.

Full Text

Duke Authors

Cited Authors

  • Goryachev, S; Kim, H; Zeng-Treitler, Q

Published Date

  • November 6, 2008

Published In

Start / End Page

  • 247 - 251

PubMed ID

  • 18999129

Pubmed Central ID

  • 18999129

Electronic International Standard Serial Number (EISSN)

  • 1942-597X

Language

  • eng