Behavioral analysis of medical data COVID -19 through artificial intelligence
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.
Authors
- María del Carmen Santiago Díaz
- Ana Claudia Zenteno Vázquez
- Judith Pérez Marcial
- Alejandro Núñez (ORCID: https://orcid.org/0000-0001-5926-7541)
- Georges Linarès (ORCID: https://orcid.org/0000-0001-8049-9056)
Institutions
- Benemérita Universidad Autónoma de Puebla (MX)
Publication Details
- Journal
- International Journal of Combinatorial Optimization Problems and Informatics.
- Published
- 2024-11-29
- DOI
- https://doi.org/10.61467/2007.1558.2024.v15i5.580
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00