title: Tailoring online information retrieval to user's needs based on a logical semantic approach to natural language processing and UMLS mapping.
abstract: Depression can derail teenagers' lives and cause serious chronic health problems. Acquiring pertinent knowledge and skills supports care management, but retrieving appropriate information can be difficult. This poster presents a strategy to tailor online information to user attributes using a logical semantic approach to natural language processing (NLP) and mapping propositions to UMLS terms. This approach capitalizes on existing NLM resources and presents a potentially sustainable plan for meeting consumers and providers information needs.
authors.affiliation: University of Wisconsin-Madison, School of Nursing, USA.
authors.forename: Susan
authors.initials: S
authors.lastname: Kossman
authors.forename: Josette
authors.initials: J
authors.lastname: Jones
authors.forename: Patricia Flatley
authors.initials: PF
authors.lastname: Brennan
mesh_terms: D000293:Adolescent; D000465:Algorithms; D054626:Consumer Health Information; D003863:Depression / Q000628:therapy*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D051188:Knowledge Bases; D009323:Natural Language Processing; D012660:Semantics; D017432:Unified Medical Language System