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Updated: Jun 13, 2026

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

机器学习模型用于预测COVID-19严重程度,使用RNA-Seq,临床和共患病率数据

Sahil Sethi1, Sushil Shakyawar1, Athreya S Reddy2

  • 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68105, USA.

Diagnostics (Basel, Switzerland)
|June 27, 2024
PubMed
概括

机器学习通过整合基因表达和临床数据,准确地预测COVID-19的严重程度. XGBoost实现了95%的准确性,识别了改善患者护理的关键基因和临床因素.

关键词:
在 COVID-19 疫情中,功能选择 功能选择机器学习是机器学习.严重程度的预测预测.

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