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使用基于电子健康记录数据的机器学习因果概率网络算法预测败血症发病

John Karlsson Valik1,2, Logan Ward3,4, Hideyuki Tanushi5

  • 1Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden. john.karlsson.valik@ki.se.

Scientific reports
|July 20, 2023
PubMed
概括

一个新的机器学习模型SepsisFinder,准确地预测毒症发作,使用在ICU外的电子健康记录. 这种早期预警系统可以识别高风险的患者,潜在地提高生存率和指导干预措施.

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