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Using Machine Learning to Predict mortality for first-day COVID-19 patients presenting to the ICU

Nahal Mansouri, Sahand Jamal Rahi
2021
Conference Papers

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Nahal Mansouri, Sahand Jamal Rahi
2021
Conference Papers

Official source

Related publications (3)

https://infoscience.epfl.ch/entities/publication/2201c397-6a7e-4226-a843-488145d5e8cf

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Related publications (3)

Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center

Mary-Anne Hartley, Jean-Baptiste Francis Marie Juliette Cordonnier

Objectives Early identification of SARS-CoV-2 infection is important to guide quarantine and reduce transmission. This study evaluates the diagnostic performance of lung ultrasound (LUS), an affordable, consumable-free point-of-care tool, for COVID-19 scre ...

BMJ PUBLISHING GROUP2022

Socioeconomically Disadvantaged Neighborhoods Face Increased Persistence of SARS-CoV-2 Clusters

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

Objective: To investigate the association between socioeconomic deprivation and the persistence of SARS-CoV-2 clusters. ...

FRONTIERS MEDIA SA2021

Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset

Sami Rtimi

Nowadays, most experiments to synthesize and test photocatalytic antimicrobial materials are based on trial and error. More often than not, the mechanism of action of the antimicrobial activity is unknown for a large spectrum of microorganisms. Here, we pr ...

MDPI2021