Death risk and the importance of clinical features in elderly people with COVID-19 using the Random Forest Algorithm
Abstract Objectives: train a Random Forest (RF) classifier to estimate death risk in elderly people (over 60 years old) diagnosed with COVID-19 in Pernambuco. A "feature" of this classifier, called feature importance, was used to identify the attributes (main risk factors) related to the o...
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Main Authors: | Tiago Pessoa Ferreira Lima (Author), Gabrielle Ribeiro Sena (Author), Camila Soares Neves (Author), Suely Arruda Vidal (Author), Jurema Telles Oliveira Lima (Author), Maria Julia Gonçalves Mello (Author), Flávia Augusta de Orange Lins da Fonseca e Silva (Author) |
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Format: | Book |
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Instituto Materno Infantil de Pernambuco.
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