Azullay R - Search Results

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Predicting invasive mechanical ventilation in COVID 19 patients: A validation study.

Statlender L, Shvartser L, Teppler S, Bendavid I, Kushinir S, Azullay R, Singer P. Statlender L, et al. Among authors: azullay r. PLoS One. 2024 Jan 2;19(1):e0296386. doi: 10.1371/journal.pone.0296386. eCollection 2024. PLoS One. 2024. PMID: 38166095 Free PMC article.

A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19.

Bendavid I, Statlender L, Shvartser L, Teppler S, Azullay R, Sapir R, Singer P. Bendavid I, et al. Among authors: azullay r. Sci Rep. 2022 Jun 22;12(1):10573. doi: 10.1038/s41598-022-14758-x. Sci Rep. 2022. PMID: 35732690 Free PMC article.

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