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Title:           Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
Subject:         Nature Communications, doi:10.1038/s41467-024-47557-1
Keywords:        
Author:          Yvan Devaux
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      Title: Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
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       Item: 
        Title: Results
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        Children: 
         Item: 
          Title: Study’design
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         Item: 
          Title: Machine learning model building and characterization
          Destination: B2
         Item: 
          Title: Survival analysis
          Destination: B3
         Item: 
          Title: Translational perspective
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       Item: 
        Title: Discussion
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         Item: 
          Title: Translational perspectives
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         Item: 
          Title: Limitations
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       Item: 
        Title: Methods
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        Children: 
         Item: 
          Title: Patient cohorts
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         Item: 
          Title: Sample storage and RNA extraction
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         Item: 
          Title: Library preparation, targeted RNA sequencing and raw data analysis
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         Item: 
          Title: Data management and curation
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         Item: 
          Title: Machine learning’models
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         Item: 
          Title: Quantitative PCR’(qPCR)
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         Item: 
          Title: Statistical analysis
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          Title: Reporting summary
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        Title: Data availability
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       Item: 
        Title: Code availability
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       Item: 
        Title: References
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        Title: Acknowledgements
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        Title: Author contributions
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       Item: 
        Title: Competing interests
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