title: A modular knowledge base for the follow-up of clinical protocols.
abstract: From the knowledge engineering point of view, the observation of patients subjected to clinical protocols of therapy constitutes a domain characterized by the existence of strongly structured knowledge. We have approached the problem from the perspective of a homogeneous and modular knowledge representation theory, based on the concept of Generalized Magnitude. This concept arises from identifying and collecting all possible facts of a domain established a priori, and being inspired by the concept of physical magnitudes. The Generalized Magnitudes scheme includes temporal extensions necessary to solve a medical problem for which exists a therapy and a follow-up plan with temporal specifications, and also facilitates the creation of advisory expert systems.
authors.affiliation: Dept. Computación, Facultade de Informática, Universidade da Coruña, Spain.
authors.forename: A
authors.initials: A
authors.lastname: Barreiro
authors.forename: R P
authors.initials: RP
authors.lastname: Otero
authors.forename: R
authors.initials: R
authors.lastname: Marín
authors.forename: J
authors.initials: J
authors.lastname: Mira
mesh_terms: D004360:Drug Therapy, Computer-Assisted; D005103:Expert Systems