Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/110301
Title: A bayesian classifier combination methodology for early detection of endotracheal obstruction of COVID-19 Patients in ICU
Authors: Suárez-Díaz, Francisco J.
Navarro Mesa, Juan Luis 
Ravelo García, Antonio Gabriel 
Fernández-López, Pablo 
Suárez-Araujo, Carmen Paz 
Pérez-Acosta, Guillermo
Santana-Cabrera, Luciano
UNESCO Clasification: 3314 Tecnología médica
Issue Date: 2021
Conference: 16th International Work-Conference on Artificial Neural Networks (IWANN 2021)
URI: http://hdl.handle.net/10553/110301
Source: Advances in Computational Intelligence. Lecture Notes in Computer Science book series
Appears in Collections:Actas de congresos
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