Artificial intelligence to predict bed bath time in Intensive Care Units
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 patien...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Enfermagem
2024-02-01
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| Series: | Revista Brasileira de Enfermagem |
| Subjects: | |
| Online Access: | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000100153&lng=en&tlng=en |
| _version_ | 1797293987236675584 |
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| author | Luana Vieira Toledo Leonardo Lopes Bhering Flávia Falci Ercole |
| author_facet | Luana Vieira Toledo Leonardo Lopes Bhering Flávia Falci Ercole |
| author_sort | Luana Vieira Toledo |
| collection | DOAJ |
| description | 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 a radial basis function, containing 13 neurons in the hidden layer, presented the best predictive performance to estimate the bed bath execution time. In data validation, the squared correlation between the predicted values and the original values was 62.3%. Conclusions: the neural network model with radial basis function showed better predictive performance to estimate bed bath execution time in critically ill patients. |
| first_indexed | 2024-03-07T21:23:40Z |
| format | Article |
| id | doaj.art-2c75f0ecb86747239314810ff27c032e |
| institution | Directory Open Access Journal |
| issn | 1984-0446 |
| language | English |
| last_indexed | 2024-03-07T21:23:40Z |
| publishDate | 2024-02-01 |
| publisher | Associação Brasileira de Enfermagem |
| record_format | Article |
| series | Revista Brasileira de Enfermagem |
| spelling | doaj.art-2c75f0ecb86747239314810ff27c032e2024-02-27T07:33:55ZengAssociação Brasileira de EnfermagemRevista Brasileira de Enfermagem1984-04462024-02-0177110.1590/0034-7167-2023-0201Artificial intelligence to predict bed bath time in Intensive Care UnitsLuana Vieira Toledohttps://orcid.org/0000-0001-9527-7325Leonardo Lopes Bheringhttps://orcid.org/0000-0002-6072-0996Flávia Falci Ercolehttps://orcid.org/0000-0002-1356-0854ABSTRACT 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 a radial basis function, containing 13 neurons in the hidden layer, presented the best predictive performance to estimate the bed bath execution time. In data validation, the squared correlation between the predicted values and the original values was 62.3%. Conclusions: the neural network model with radial basis function showed better predictive performance to estimate bed bath execution time in critically ill patients.http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000100153&lng=en&tlng=enNursingBathsArtificial IntelligenceNeural NetworksComputerIntensive Care Units |
| spellingShingle | Luana Vieira Toledo Leonardo Lopes Bhering Flávia Falci Ercole Artificial intelligence to predict bed bath time in Intensive Care Units Revista Brasileira de Enfermagem Nursing Baths Artificial Intelligence Neural Networks Computer Intensive Care Units |
| title | Artificial intelligence to predict bed bath time in Intensive Care Units |
| title_full | Artificial intelligence to predict bed bath time in Intensive Care Units |
| title_fullStr | Artificial intelligence to predict bed bath time in Intensive Care Units |
| title_full_unstemmed | Artificial intelligence to predict bed bath time in Intensive Care Units |
| title_short | Artificial intelligence to predict bed bath time in Intensive Care Units |
| title_sort | artificial intelligence to predict bed bath time in intensive care units |
| topic | Nursing Baths Artificial Intelligence Neural Networks Computer Intensive Care Units |
| url | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000100153&lng=en&tlng=en |
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