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...

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Detalles Bibliográficos
Autor principal: Nistal-Nuño, Beatriz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2021
Materias:
Original Article
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

Internet

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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