Yong Wang1, Zong-Lin Liu2, Hai Yang3

  • 1Department of Anesthesiology, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China; Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.

PubMed
概括

机器学习模型有效地利用CT成像和临床数据预测病毒性肺炎的风险和严重程度. 支持矢量机模型在风险预测方面表现出色,而随机森林准确地确定了肺炎的严重程度.

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