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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Format: | Book |
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Instituto Materno Infantil de Pernambuco.
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A1234.567 |
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