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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