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静脉血栓栓塞的机器学习 - 为什么以及接下来呢?

Gerard Gurumurthy1, Filip Kisiel2,3, Lianna Reynolds4

  • 1The University of Manchester, Manchester, United Kingdom.

Seminars in thrombosis and hemostasis
|August 19, 2025
PubMed
概括

机器学习 (ML) 在预测静脉血栓塞栓症 (VTE) 和相关风险方面表现有前途,在某些领域的表现优于传统得分. 然而,为了在VTE管理中广泛采用,必须解决诸如偏见,透明度和临床整合等挑战.

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