Machine learning and predictive models: 2 years of Sars-CoV-2 pandemic in a single-center retrospective analysis.

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作者： Michela,Rauseo ^[1] ; Marco,Perrini ^[2] ; Crescenzio,Gallo ^[3] ; Lucia,Mirabella ^[2] ; Karim,Mariano ^[2] ; Giuseppe,Ferrara ^[2] ; Filomena,Santoro ^[2] ; Livio,Tullo ^[2] ; Daniela,La Bella ^[2] ; Paolo,Vetuschi ^[2] ; Gilda,Cinnella ^[2]

作者单位： Department of Anesthesia and Intensive Care Medicine, University Hospital "Policlinico Riuniti di Foggia", University of Foggia, Viale Pinto, 1, 71122, Foggia, Italy. michela.rauseo@unifg.it. ^[1] Department of Anesthesia and Intensive Care Medicine, University Hospital "Policlinico Riuniti di Foggia", University of Foggia, Viale Pinto, 1, 71122, Foggia, Italy. ^[2] Department of Clinical and Experimental Medicine "InfoLab" Bioinformatics Facility Head, University Hospital "Policlinico Riuniti", Viale Pinto 1, 71122, Foggia, Italy. ^[3]

关键词 Acute respiratory failure COVID-19 Emergency department Intensive care unit Length of stay MEWS Machine learning Mechanical ventilation NEWS Non-invasive ventilation Predictive models

DOI 10.1186/s44158-022-00071-6

PMID 37386654

发布时间 2024-09-19

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Journal of anesthesia, analgesia and critical care

2022年2卷1期

42页

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Machine learning and predictive models: 2 years of Sars-CoV-2 pandemic in a single-center retrospective analysis.

Journal of anesthesia, analgesia and critical care

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Machine learning and predictive models: 2 years of Sars-CoV-2 pandemic in a single-center retrospective analysis.

Journal of anesthesia, analgesia and critical care

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Journal of anesthesia, analgesia and critical care

相关期刊

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