2024
DOI: 10.1590/0034-7167-2023-0201
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Artificial intelligence to predict bed bath time in Intensive Care Units

Luana Vieira Toledo,
Leonardo Lopes Bhering,
Flávia Falci Ercole

Abstract: Objectives: to assess the predictive performance of different artificial intelligence algorithms to estimate bed bath execution time in critically ill patients. Methods: a methodological study, which used artificial intelligence algorithms to predict bed bath time in critically ill patients. The results of multiple regression models, multilayer perceptron neural networks and radial basis function, decision tree and random forest were analyzed. Results: among the models assessed, the neural network model with… Show more

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