title: Ontological modeling of transformation in heart defect diagrams.
abstract: The accurate portrayal of a large volume data of variable heart defects is crucial to providing good patient care in pediatric cardiology. Our research aims to span the universe of congenital heart defects by generating illustrative diagrams that enhance data interpretation. To accommodate the range and severity of defects to be represented, we base our diagrams on transformation models applied to a normal heart rather than a static set of defects. These models are based on a domain-specific ontology, clustering, association rule mining and the use of parametric equations specified in a mathematical programming language.
authors.affiliation: School of Computing & Engineering, University of Missouri - Kansas City, Missouri, MO, USA.
authors.forename: Venkatesh
authors.initials: V
authors.lastname: Viswanath
authors.forename: Tuanjie
authors.initials: T
authors.lastname: Tong
authors.forename: Deendayal
authors.initials: D
authors.lastname: Dinakarpandian
authors.forename: Yugyung
authors.initials: Y
authors.lastname: Lee
mesh_terms: D019412:Anatomy, Cross-Sectional; D002648:Child; D003331:Coronary Vessels / Q000033:anatomy & histology; D006321:Heart / Q000033:anatomy & histology*; D006330:Heart Defects, Congenital / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D011381:Programming Languages; D018875:Vocabulary, Controlled