一个决策树驱动的物联网系统,以提高产前诊断准确度

Xuewen Yang1, Ling Liu2, Yan Wang3

  • 1Prenatal Diagnosis Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. yangxuewen@zzu.edu.cn.

概括

本研究介绍了一种创新的产前诊断模型,使用物联网 (IoT) 设备和机器学习决策树算法. 综合系统提升了早期检测潜在的胎儿健康并发症,准确率达95%.

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