title: Natural language processing to identify foley catheter-days.
authors.affiliation: Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
authors.forename: Valmeek
authors.initials: V
authors.lastname: Kudesia
authors.forename: Judith
authors.initials: J
authors.lastname: Strymish
authors.forename: Leonard
authors.initials: L
authors.lastname: D'Avolio
authors.forename: Kalpana
authors.initials: K
authors.lastname: Gupta
mesh_terms: D055499:Catheter-Related Infections / Q000209:etiology*; D003428:Cross Infection / Q000209:etiology; D057286:Electronic Health Records; D006779:Hospitals, Public / Q000706:statistics & numerical data; D006801:Humans; D009323:Natural Language Processing; D011159:Population Surveillance / Q000379:methods*; D011237:Predictive Value of Tests; D013223:Statistics as Topic; D014546:Urinary Catheterization / Q000706:statistics & numerical data*; D014552:Urinary Tract Infections / Q000209:etiology