TY  - GEN
AU  - Servia, Luis
AU  - Montserrat, Neus
AU  - Badia, Mariona
AU  - Llompart-Pou, Juan Antonio
AU  - Abelardo Barea-Mendoza, Jesus
AU  - Chico-Fernandez, Mario
AU  - Sanchez-Casado, Marcelino
AU  - Jimenez, Jose Manuel
AU  - Maria Mayor, Dolores
AU  - Trujillano, Javier
PY  - 2020
DO  - 10.1186/s12874-020-01151-3
UR  - https://hdl.handle.net/20.500.12105/22865
AB  - Background: Interest in models for calculating the risk of death in traumatic patients admitted to ICUs remains high. These models use variables derived from the deviation of physiological parameters and/or the severity of anatomical lesions with...
LA  - eng
PB  - BioMed Central (BMC)
KW  - Intensive care unit
KW  - Machine learning techniques
KW  - Supervised algorithms
KW  - Traumatic patient
KW  - Mortality
TI  - Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study
TY  - research article
ER  -