Tailoring online information retrieval to user's needs based on a logical semantic approach to natural language processing and UMLS mapping.
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.
Kossman
Susan
S
University of Wisconsin-Madison, School of Nursing, USA.
Jones
Josette
J
Brennan
Patricia Flatley
PF
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