Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/105796
Title: Prediction model of endotracheal obstruction, in patients with severe pneumonia due to COVID-19, analyzing ventialtory parameters using intelligent computation
Authors: Pérez Acosta, Guillermo
Navarro Mesa, Juan Luis 
Blanco López, José
Santana Cabrera, Luciano
Suárez Araujo, Carmen Paz 
Martín González, Juan C.
UNESCO Clasification: 120304 Inteligencia artificial
331499 Otras (especificar)
Issue Date: 2020
Journal: Intensive Care Medicine Experimental 
Conference: 33rd Annual Congress of the European-Society-of-Intensive-Care-Medicine (ESICM) 
URI: http://hdl.handle.net/10553/105796
ISSN: 2197-425X
DOI: 10.1186/s40635-020-00354-8
Source: Intensive Care Medicine Experimental [ISSN 2197-425X], v. 8 (Suppl 2), p. 489-490, Abstract 001617
Appears in Collections:Actas de congresos
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