凝血参数的整合 提高基于深度学习的生存预测 高度血清卵巢癌:一个全面的预后模型

Pei Wang1, Xi Zhang2, Jing Shi1

  • 1Department of Gynecology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China.

概括

这项研究开发了一种机器学习模型,利用临床病理学和凝血数据预测高度血清性卵巢癌 (HGSOC) 的生存率. 该模型显示了改进的准确性,有助于个性化治疗决策.

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