title: Investigation of an expert systems approach to bacterial identification.
abstract: An investigation was carried out to assess the feasibility of using an expert systems approach to assist in the identification of unknown isolates of bacteria. A system was developed using Lisp which utilized the knowledge stored in standard bacteriological texts. A comparison of the expert systems approach and the probabilistic approach based on Bayes Theorem was made together with the advantages and disadvantages of each approach.
authors.affiliation: Medical Statistics and Computing, University of Southampton, Southampton General Hospital, UK.
authors.forename: R J
authors.initials: RJ
authors.lastname: Brammer
authors.forename: T N
authors.initials: TN
authors.lastname: Bryant
authors.forename: J H
authors.initials: JH
authors.lastname: May
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000145:classification* / Q000254:growth & development / Q000302:isolation & purification; D012984:Software