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Updated: Jan 28, 2026

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半监督学习以提高癌症相关静脉血栓塞栓症风险预测模型的概括性

Shuai Jin1, Chong Wang2, Dan Qin3

  • 1Department of Adult Care, School of Nursing, Capital Medical University, Beijing, China.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
|January 27, 2026
PubMed
概括

这项研究使用机器学习和半监督学习 (SSL) 开发了改进的癌症相关静脉血栓栓塞 (CA-VTE) 风险模型,在更好的患者风险分层方面超过了Khorana评分.

关键词:
癌症 癌症 癌症 癌症 癌症预测模型 预测模型有关风险因素的风险因素.半监督学习 半监督学习静脉血栓塞栓症是一种静脉血栓塞栓.

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