Using natural language processing for identification of pneumonia cases from clinical records of patients with serologically proven influenza.

Dietlind L. Wahner-Roedler, Gail A. Welsh, Brett E. Trusko, David A. Froehling, Zelalem Temesgen, Peter L. Elkin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The purpose of this study was to determine whether influenza vaccination protects against pneumonia in patients who develop influenza. By parsing a data set of records of 1455 patients with serologically proven influenza using SNOMED CT we found that of the vaccinated patients 19.3% developed pneumonia and of the unvaccinated 20.7%. These data suggest that influenza vaccine does not prevent pneumonias in patients who develop influenza despite immunization with influenza vaccine.

Original languageEnglish (US)
Pages (from-to)1165
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008

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Natural Language Processing
Human Influenza
Pneumonia
Influenza Vaccines
Systematized Nomenclature of Medicine
Immunization
Vaccination

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Using natural language processing for identification of pneumonia cases from clinical records of patients with serologically proven influenza. / Wahner-Roedler, Dietlind L.; Welsh, Gail A.; Trusko, Brett E.; Froehling, David A.; Temesgen, Zelalem; Elkin, Peter L.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2008, p. 1165.

Research output: Contribution to journalArticle

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