Swarm intelligence applied to the risk evaluation for congenital heart surgery

Autor:	Daniel Ruiz-Fernandez, Brayan S. Zapata-Impata, Ana Monsalve-Torra
Rok vydání:	2016
Předmět:	Heart Defects Congenital medicine.medical_specialty business.industry MEDLINE Particle swarm optimization Swarm intelligence Risk Assessment Risk evaluation Surgery Artificial Intelligence medicine Humans business Risk assessment Algorithms
Zdroj:	EMBC
ISSN:	2694-0604
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7e483a8e583e0107c5ba5f8b6322ba https://pubmed.ncbi.nlm.nih.gov/26736238 Zobrazit plný text záznamu