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Predicting Hemodynamic Failure Development in PICU Using Machine Learning Techniques
The present work aims to identify the predictors of hemodynamic failure (HF) developed during pediatric intensive care unit (PICU) stay testing a set of machine learning techniques (MLTs), comparing their ability to predict the outcome of interest. The study involved patients admitted to PICUs betwe...
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| Publicado no: | Diagnostics (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8303657/ https://ncbi.nlm.nih.gov/pubmed/34359385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11071299 |
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