title: Predicting information preferences from information logs.
abstract: This poster describes questions that can be answered about how clinical and knowledge-based resources are used in an integrated information environment that track how diverse applications are initiated, given focus, interacted with, and linked to other applications. Results show that it is possible to use decision trees to predict information patterns and preferences.
authors.affiliation: Centre for Health Evidence, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Mohamad
authors.initials: M
authors.lastname: El-Hajj
authors.forename: Robert S
authors.initials: RS
authors.lastname: Hayward
authors.forename: Tanya K
authors.initials: TK
authors.lastname: Voth
mesh_terms: D001519:Behavior; D003663:Decision Trees; D006801:Humans; D008490:Medical Informatics / Q000379:methods; D008491:Medical Informatics Applications; D020380:Needs Assessment