Inferência dos Perfis de Infusão em Sistemas Intravenosos: Uma Abordagem Empregando Técnicas de Aprendizagem de Máquina

• Fabrício Ferreira UFPel
• Felipe Gruendemann UFPel
• Ricardo Araujo UFPel
• Adenauer Yamin UFPel
• Luciano Agostini UFPel

DOI: https://doi.org/10.5753/sbcas.2021.16069

Abstract

Intravenous infusion procedures are present when rapid therapeutic return is required. These infusion procedures are among the most usually in hospitals and have the potential to generate a high volume of adverse events. However, infusions still have their inspection perform out based on checked non-automatically, thus, they are subject to failures of different natures. Considering this scenario, this article presents an evaluation of six regression methods used in Machine Learning and applied in the automatic identification of different profiles of intravenous infusions. The evaluations performed out to show that regression models by neural networks are promising for the inferences of infusions.

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