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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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