Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study
R Kablan, HA Miller, S Suliman, HB Frieboes - International Journal of …, 2023 - Elsevier
Background The application of machine learning (ML) to analyze clinical data with the goal
to predict patient outcomes has garnered increasing attention. Ensemble learning has been …
to predict patient outcomes has garnered increasing attention. Ensemble learning has been …
Análisis post-Covid19 con herramientas de aprendizaje automático
J Jiménez López de Castro - 2022 - oa.upm.es
Han pasado algo más de dos años desde el inicio de la pandemia por Covid-19 en Wuhan
(China). Desde entonces, el panorama ha evolucionado en muchos aspectos, de entre los …
(China). Desde entonces, el panorama ha evolucionado en muchos aspectos, de entre los …
[PDF][PDF] Análise de Desfechos de COVID-19 no RJ através de Técnicas de Aprendizado de Máquina
J Zavaleta, RE da Silva, DDC da Computação… - sbic.org.br
Given the rapid spread of COVID-19, having tools to screen patients and reduce the risk of
death is crucial. This study focuses on the outcomes (cures and deaths) of confirmed COVID …
death is crucial. This study focuses on the outcomes (cures and deaths) of confirmed COVID …