title: Diagnosing congenital heart defects using the Fallot computational model.
abstract: This paper describes a computational model developed for the diagnosis of multiple defects. If multiple defects interact, meaning that the cues observable for multiple defects are not a sum of the cues observable for the component defects, diagnosis is particularly difficult. We developed a description and classification of the ways cues change when defects interact. A computational model (named Fallot) was implemented and a knowledge-base was constructed for the diagnosis of congenital heart defects. On each case, Fallot performs recognition-based reasoning followed by solution construction and evaluation with the cue combination methods. Fallot was tested on cases from hospital files and correctly diagnoses cases with multiple interacting defects for which conventional methods are not applicable or fail.
authors.affiliation: Department of Computer Science, University of California, Davis 95616-8562, USA.
authors.forename: N E
authors.initials: NE
authors.lastname: Reed
authors.forename: M
authors.initials: M
authors.lastname: Gini
authors.forename: P E
authors.initials: PE
authors.lastname: Johnson
authors.forename: J H
authors.initials: JH
authors.lastname: Moller
mesh_terms: D000015:Abnormalities, Multiple / Q000175:diagnosis*; D001185:Artificial Intelligence; D002648:Child; D003936:Diagnosis, Computer-Assisted; D006330:Heart Defects, Congenital / Q000175:diagnosis*; D006801:Humans; D010372:Pediatrics