Article

Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study

2020-08-20

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>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 respect to the affected body areas. Our objective is to create different predictive models of the mortality of critically traumat...

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Literature Corpus work: 3a0c6742-2a14-5157-b16e-bf24c15500a3
DOI: 10.21203/rs.3.rs-39037/v2

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