Data Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus
Author:
Affiliation:
1. Universidad Politécnica Salesiana,GI-IATA,Cuenca,Ecuador
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10018605/10018571/10018741.pdf?arnumber=10018741
Reference17 articles.
1. Prevalencia del virus de hepatitis C en donantes de sangre en el Perú 2016 - 2017
2. Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
3. Erratum: Real-world monitoring progress towards the elimination of hepatitis C virus in Australia using sentinel surveillance of primary care clinics; an ecological study of hepatitis C virus antibody tests from 2009 to 2019 (Epidemiology and Infection (2019) 150 (E7) DOI: 10.1017/S0950268821002624);lee wilkinson;Epidemiology and Infection,2022
4. Nuevos progresos en el enfrentamiento a la hepatitis C;bruce;Revista Medica Electronica,2018
5. Intelligent Identification of Liver Diseases Based on Incremental Hidden Layer Neurons ANN Model
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