机器学习模型预测肝硬化中的脱补偿

Sophie Elisabeth Müller1, Markus Casper2, Cristina Ripoll3

  • 1Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany; Institute of Medical Microbiology and Hygiene, Center for Infectious Diseases, Saarland University, Homburg, Germany. sophieelisabeth.mueller@uks.eu.

概括

机器学习模型可以使用实验室,临床和遗传数据来预测肝硬化脱补偿. 关键预测因素包括白蛋白,白素和NOD2基因型,有助于早期风险识别.

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