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Identification of exacerbation risk in patients with liver dysfunction using machine learning algorithms
The prediction of the liver failure (LF) and its proper diagnosis would lead to a reduction in the complications of the disease and prevents the progress of the disease. To improve the treatment of LF patients and reduce the cost of treatment, we build a machine learning model to forecast whether a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546449/ https://www.ncbi.nlm.nih.gov/pubmed/33035213 http://dx.doi.org/10.1371/journal.pone.0239266 |