title: Data mining and structuring of executable data analysis reports: guideline development and implementation in a narrow sense.
abstract: In this paper we present a data mining scenario that supports development of automated web-based documentation of data analysis for diagnosis and treatment. The documents can be seen as guidelines in a narrow sense, and are designed to include executable modules for the corresponding decision support systems. Our aim is to discuss the possibilities of identifying certain types of diagnoses and treatments for which guidelines can be generated and computerised more systematically.
authors.affiliation: Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden. johank@cs.umu.se
authors.forename: J
authors.initials: J
authors.lastname: Karlsson
authors.forename: P
authors.initials: P
authors.lastname: Eklund
mesh_terms: D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D006801:Humans; D020407:Internet; D016347:Medical Records Systems, Computerized; D017410:Practice Guidelines as Topic