Improving Downs Syndrome Prediction with a Smart Medical Data Classification Model- Case of Study

In health areas like drugs application, surgeries, projection of the spreading of contagious diseases, study of cancer and others, estimation, accuracy and precision are crucial. In the last few years, machine-learning methods have been used to obtain the best precision in prediction and classificat...

Full description

Bibliographic Details

Main Author:	Saldana-Barrios, Juan Jose (author)
Other Authors:	Concepción, Tomas (author), Vargas-Lombardo, Miguel (author)
Format:	article
Language:	Spanish
Published:	2016
Subjects:	Naïve Bayes, Machine Learning, Support Vector Machine, Down’s syndrome, eHealth Clasificador Bayesiano Ingenuo, Máquina de Aprendizaje Automático, Máquina de Vectores de Soporte, Síndrome de Down, Salud Electrónica.
Online Access:	http://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/1234 http://ridda2.utp.ac.pa/handle/123456789/1814
Tags:	Add Tag No Tags, Be the first to tag this record!