Data Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus

Conference Object

Abstract: Nowadays the WHO (World health Organization) has difficulties improving the access to safe blood. Th

Palabras claves:

Artificial Neural Network, Blood Donor, data science, HEPATITIS C, K-Nearest-Neighbor, Machine learning, neural network, Oversizing, Principal Component Analysis, random forest, Support Vector Machine

Autores:

Denys Dutan-Sanchez, Paul Idrovo, Paul Idrovo-Berrezueta, Remigio Hurtado Ortiz, Vladimir Robles-Bykbaev

Fuentes:

google

scopus