title: Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques.
authors: Purdue University, USA. rmacieje@purdue.edu
authors: Ross
authors: R
authors: Maciejewski
authors: Ryan
authors: R
authors: Hafen
authors: Stephen
authors: S
authors: Rudolph
authors: George
authors: G
authors: Tebbetts
authors: William S
authors: WS
authors: Cleveland
authors: David S
authors: DS
authors: Ebert
authors: Shaun J
authors: SJ
authors: Grannis
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D016208:Databases, Factual; D003661:Decision Support Techniques; D016247:Information Storage and Retrieval / Q000379:methods*; D008962:Models, Theoretical; D011159:Population Surveillance / Q000379:methods*; D013577:Syndrome; D014584:User-Computer Interface