title: Using natural language processing for identification of pneumonia cases from clinical records of patients with serologically proven influenza.
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.
authors.affiliation: Mayo Clinic, Rochester, MN, USA.
authors.forename: Dietlind L
authors.initials: DL
authors.lastname: Wahner-Roedler
authors.forename: Gail A
authors.initials: GA
authors.lastname: Welsh
authors.forename: Brett E
authors.initials: BE
authors.lastname: Trusko
authors.forename: David A
authors.initials: DA
authors.lastname: Froehling
authors.forename: David Arthur
authors.initials: DA
authors.lastname: Froehling
authors.forename: Zelalem
authors.initials: Z
authors.lastname: Temesgen
authors.forename: Peter L
authors.initials: PL
authors.lastname: Elkin
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007251:Influenza, Human / Q000097:blood / Q000150:complications / Q000175:diagnosis*; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D011014:Pneumonia / Q000097:blood / Q000150:complications / Q000175:diagnosis*; D012698:Serologic Tests; D014481:United States