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Behavioral analysis of medical data COVID -19 through artificial intelligence.

Authors :
Álvarez Núñez, Antonio
Santiago Díaz, María del Carmen
Zenteno Vázquez, Ana Claudia
Pérez Marcial, Judith
Rubín Linares, Gustavo Trinidad
Source :
International Journal of Combinatorial Optimization Problems & Informatics. Dec2024, Vol. 15 Issue 5, p212-217. 6p.
Publication Year :
2024

Abstract

The COVID-19 pandemic has generated a global health crisis, and having tools that allow the disease to be efficiently managed is of vital importance. In this context, artificial intelligence offers a unique opportunity to analyze large volumes of medical data and obtain valuable information that can contribute to medical decision-making and improve management of the pandemic. In this work, artificial intelligence techniques are applied to model the results obtained from COVID-19 databases in Mexico. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20071558
Volume :
15
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Combinatorial Optimization Problems & Informatics
Publication Type :
Academic Journal
Accession number :
182391145
Full Text :
https://doi.org/10.61467/2007.1558.2024.v15i5.580