Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission
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Published in Frontiers in immunology (22.02.2021)
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Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illnessResearch in context
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Published in bioRxiv (20.09.2021)
Published in bioRxiv (20.09.2021)
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Paper
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 Hours post ICU admission
Banerjee, Shayantan, Akram, Mohammed, Wong, Hector R, Palaniyar, Nades, Kamaleswaran, Rishikesan
Published in bioRxiv (10.09.2020)
Published in bioRxiv (10.09.2020)
Get full text
Paper