title: Swarm intelligence applied to the risk evaluation for congenital heart surgery.
abstract: Particle Swarm Optimization is an optimization technique based on the positions of several particles created to find the best solution to a problem. In this work we analyze the accuracy of a modification of this algorithm to classify the levels of risk for a surgery, used as a treatment to correct children malformations that imply congenital heart diseases.
authors.forename: Brayan S
authors.initials: BS
authors.lastname: Zapata-Impata
authors.forename: Daniel
authors.initials: D
authors.lastname: Ruiz-Fernandez
authors.forename: Ana
authors.initials: A
authors.lastname: Monsalve-Torra
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006330:Heart Defects, Congenital / Q000601:surgery*; D006801:Humans; D018570:Risk Assessment / Q000379:methods*