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Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system
OBJECTIVE: To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to a recent logistic regression system in the literature, and a logistic regression model built on the same pl...
Autor principal: | Nistal-Nuño, Beatriz |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto Israelita de Ensino e Pesquisa Albert Einstein
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8483638/ https://www.ncbi.nlm.nih.gov/pubmed/34644744 http://dx.doi.org/10.31744/einstein_journal/2021AO6283 |
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