Sistema pronóstico del paciente pediátrico
Fecha
2007-07-06
Autores
González Castellanos, Mabel
Espinosa García, Mayelis
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ISSN de la revista
Título del volumen
Editor
Universidad Central “Marta Abreu” de Las Villas
Resumen
La valoración adecuada de un paciente pediátrico a la hora de ingresar en la Unidad de Cuidados Intensivos, es de gran interés, sobre todo si se da un pronóstico del nivel de gravedad del mismo atendiendo a rasgos epidemiológicos y clínicos. En esta investigación se desarrolla un sistema híbrido que combina conjuntos borrosos y Sistemas Basados en Casos explotando las ventajas que ofrece cada uno de ellos. El uso de conjuntos borrosos permite darle más naturalidad al planteamiento del problema al modelar los atributos numéricos como variables lingüísticas. El Sistema Basado en Casos es el que pronostica el nivel de gravedad de un paciente determinado y justifica la solución dada al mismo citando experiencias previas. El sistema implementado demostró su efectividad a partir de las pruebas practicadas
An adequate evaluation of pediatric patient arriving at Intensive Care Units is a very important task. It is necessary to give a correct diagnosis upon clinical and epidemic features of the patient. This investigation develops a hybrid system that combines fuzzy sets and Case Based Systems which explote the advantages offered by each of them. The use of fuzzy systems provides more naturality to the statement of the problem by modeling the numeric attributes as linguistic variables. The Case based System is the one that prognosticates the gravity of a patient and it justifies the solution of the case by citing previous experiences. The evaluation of the system shows it effectiveness based on several test.
An adequate evaluation of pediatric patient arriving at Intensive Care Units is a very important task. It is necessary to give a correct diagnosis upon clinical and epidemic features of the patient. This investigation develops a hybrid system that combines fuzzy sets and Case Based Systems which explote the advantages offered by each of them. The use of fuzzy systems provides more naturality to the statement of the problem by modeling the numeric attributes as linguistic variables. The Case based System is the one that prognosticates the gravity of a patient and it justifies the solution of the case by citing previous experiences. The evaluation of the system shows it effectiveness based on several test.
Descripción
Palabras clave
Sistema Pronóstico, Paciente Pediátrico, Conjuntos Borrosos, Sistemas Basados en Casos (SBCaso), Inteligencia Artificial