title: Personalized Health Information Retrieval System.
abstract: Consumers face barriers when seeking health information on the Internet. A Personalized Health Information Retrieval System (PHIRS) is proposed to recommend health information for consumers. The system consists of four modules: (1) User modeling module captures user inverted exclamation mark s preference and health interests; (2) Automatic quality filtering module identifies high quality health information; (3) Automatic text difficulty rating module classifies health information into professional or patient educational materials; and (4) User profile matching module tailors health information for individuals. The initial results show that PHIRS could assist consumers with simple search strategies.
authors.affiliation: Institute for Information Technology, National Research Council Canada, Saint John, NB.
authors.forename: Yunli
authors.initials: Y
authors.lastname: Wang
authors.forename: Zhenkai
authors.initials: Z
authors.lastname: Liu
mesh_terms: D006266:Health Education / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D007256:Information Systems; D020407:Internet; D016347:Medical Records Systems, Computerized; D014584:User-Computer Interface