Predictive models for the medical diagnosis of dengue: a case study in Paraguay

DOI10.1155/2019/7307803zbMath1423.92106OpenAlexW2965590433WikidataQ93108569 ScholiaQ93108569MaRDI QIDQ2332571

Jorge D. Mello-Román, Julio C. Mello-Román, Miguel García-Torres, Santiago Gómez-Guerrero

Publication date: 4 November 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/7307803

zbMATH Keywords

artificial neural networksmedical diagnosissupport vector machinesdengue

Mathematics Subject Classification ID

Medical applications (general) (92C50) Computational methods for problems pertaining to biology (92-08)

Cites Work

• Principles of Artificial Neural Networks
• Unnamed Item
• Unnamed Item

Uses Software

• SPSS

This page was built for publication: Predictive models for the medical diagnosis of dengue: a case study in Paraguay