Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/110302
Title: Toward an intelligent computing solution for endothraqueal obstruction prediction in COVID-19 patients in ICU
Authors: Fernández-López, Pablo
Suárez-Araujo, Carmen Paz 
García-Báez, Patricio
Suárez-Díaz, Francisco J.
Navarro-Mesa, Juan Luis 
Pérez-Acosta, Guillermo
Blanco-López, José
UNESCO Clasification: 3314 Tecnología médica
Issue Date: 2021
Conference: 16th International Work-Conference on Artificial Neural Networks (IWANN 2021)
URI: http://hdl.handle.net/10553/110302
Source: Advances in Computational Intelligence. Lecture Notes in Computer Science book series
Appears in Collections:Actas de congresos
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