title: Online information seeking for cardiovascular diseases: a case study from Mayo Clinic.
abstract: The objective of this study is to understand the types of health information (health topics) that users search online for Cardiovascular Diseases, by performing categorization of health search queries (from Mayoclinic.com) using UMLS Metamap based on UMLS concepts and semantic types.
authors.affiliation: Knoesis Center, Wright State University, Dayton, OH, USA.
authors.forename: Ashutosh
authors.initials: A
authors.lastname: Jadhav
authors.affiliation: Mayo Clinic, Rochester, MN, USA.
authors.forename: Stephen
authors.initials: S
authors.lastname: Wu
authors.affiliation: Knoesis Center, Wright State University, Dayton, OH, USA.
authors.forename: Amit
authors.initials: A
authors.lastname: Sheth
authors.affiliation: Mayo Clinic, Rochester, MN, USA.
authors.forename: Jyotishman
authors.initials: J
authors.lastname: Pathak
mesh_terms: D002318:Cardiovascular Diseases; D016022:Case-Control Studies; D054626:Consumer Health Information / Q000706:statistics & numerical data*; D057226:Information Seeking Behavior; D020407:Internet / Q000706:statistics & numerical data*; D008910:Minnesota; D009323:Natural Language Processing; D057386:Search Engine / Q000706:statistics & numerical data*; D012660:Semantics; D018875:Vocabulary, Controlled