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Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree
Sepsis is a leading cause of mortality in the intensive care unit. Early prediction of sepsis can reduce the overall mortality rate and cost of sepsis treatment. Some studies have predicted mortality and development of sepsis using machine learning models. However, there is a gap between the creatio...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133100/ https://www.ncbi.nlm.nih.gov/pubmed/34106618 http://dx.doi.org/10.1097/MD.0000000000025813 |